Package index • VGAM

All functions
`A1A2A3()`	The A1A2A3 Blood Group System
`AA.Aa.aa()`	The AA-Aa-aa Blood Group System
`AB.Ab.aB.ab()`	The AB-Ab-aB-ab Blood Group System
`ABO()`	The ABO Blood Group System
`AICvlm()` `AICvgam()` `AICrrvglm()` `AICdrrvglm()` `AICqrrvglm()` `AICrrvgam()`	Akaike's Information Criterion
`AR1()`	Autoregressive Process with Order-1 Family Function
`AR1EIM()`	Computation of the Exact EIM of an Order-1 Autoregressive Process
`dAR1()`	The AR-1 Autoregressive Process
`BICvlm()`	Bayesian Information Criterion
`CM.equid()` `CM.free()` `CM.ones()` `CM.symm0()` `CM.symm1()` `CM.qnorm()`	Constraint Matrices for Symmetry, Order, Parallelism, etc.
`Coef()`	Computes Model Coefficients and Quantities
`Coef.qrrvglm-class`	Class “Coef.qrrvglm”
`Coef.qrrvglm()`	Returns Important Matrices etc. of a QO Object
`Coef.rrvglm-class`	Class “Coef.rrvglm”
`Coef.rrvglm()`	Returns Important Matrices etc. of a RR-VGLM Object
`Coef.vlm()`	Extract Model Coefficients for VLM Objects
`TypicalVGAMfamilyFunction()`	Common VGAM Family Function Arguments
`Huggins89table1` `Huggins89.t1`	Table 1 of Huggins (1989)
`Influence()` `Influence.vglm()`	Influence Function (S4 generic) of a Fitted Model
`dinv.gaussian()` `pinv.gaussian()` `rinv.gaussian()`	The Inverse Gaussian Distribution
`KLD()` `KLDvglm()`	Kullback-Leibler Divergence
`TypicalVGAMlink()`	Link functions for VGLM/VGAM/etc. families
`MNSs()`	The MNSs Blood Group System
`Max()`	Maximums
`dN1binom()` `rN1binom()`	Linear Model and Binomial Mixed Data Type Distribution
`N1binomial()`	Linear Model and Binomial Mixed Data Type Family Function
`dN1pois()` `rN1pois()`	Linear Model and Poisson Mixed Data Type Distribution
`N1poisson()`	Linear Model and Poisson Mixed Data Type Family Function
`Opt()`	Optimums
`dpareto()` `ppareto()` `qpareto()` `rpareto()`	The Pareto Distribution
`Qvar()`	Quasi-variances Preprocessing Function
`R2latvar()`	R-squared for Latent Variable Models
`Rank()` `Rank.rrvglm()` `Rank.qrrvglm()` `Rank.rrvgam()`	Rank
`Rcim()`	Mark the Baseline of Row and Column on a Matrix data
`SURff()`	Seemingly Unrelated Regressions Family Function
`Select()`	Select Variables for a Formula Response or the RHS of a Formula
`SurvS4-class` `show,SurvS4-method`	Class "SurvS4"
`SurvS4()` `is.SurvS4()`	Create a Survival Object
`TIC()` `TICvlm()`	Takeuchi's Information Criterion
`Tol()`	Tolerances
`Trunc()`	Truncated Values for the GT-Expansion Method
`param.names()` `dimm()` `interleave.VGAM()`	Utility Functions for the VGAM Package
`V1`	V1 Flying-Bombs Hits in London
`V2`	V2 Missile Hits in London
`VGAM-package` `VGAM`	Vector Generalized Linear and Additive Models and Other Associated Models
`acat()`	Ordinal Regression with Adjacent Categories Probabilities
`alogitlink()` `lcalogitlink()`	Arcsine–Logit Link Mixtures
`altered()` `inflated()` `truncated()` `is.altered()` `is.deflated()` `is.inflated()` `is.truncated()`	Altered, Inflated, Truncated and Deflated Values in GAITD Regression
`amlbinomial()`	Binomial Logistic Regression by Asymmetric Maximum Likelihood Estimation
`amlexponential()`	Exponential Regression by Asymmetric Maximum Likelihood Estimation
`amlnormal()`	Asymmetric Least Squares Quantile Regression
`amlpoisson()`	Poisson Regression by Asymmetric Maximum Likelihood Estimation
`anova(<vglm>)`	Analysis of Deviance for Vector Generalized Linear Model Fits
`asinlink()`	Arcsine Link Function
`auuc`	Auckland University Undergraduate Counts Data
`aux.posbernoulli.t()`	Auxiliary Function for the Positive Bernoulli Family Function with Time Effects
`backPain`	Data on Back Pain Prognosis, from Anderson (1984)
`beggs`	Bacon and Eggs Data
`bell()`	The Bell Series of Integers
`dbenf()` `pbenf()` `qbenf()` `rbenf()`	Benford's Distribution
`benini1()`	Benini Distribution Family Function
`dbenini()` `pbenini()` `qbenini()` `rbenini()`	The Benini Distribution
`betaII()`	Beta Distribution of the Second Kind
`betaR()`	The Two-parameter Beta Distribution Family Function
`dbetabinom()` `pbetabinom()` `rbetabinom()` `dbetabinom.ab()` `pbetabinom.ab()` `rbetabinom.ab()` `dzoibetabinom()` `pzoibetabinom()` `rzoibetabinom()` `dzoibetabinom.ab()` `pzoibetabinom.ab()` `rzoibetabinom.ab()`	The Beta-Binomial Distribution
`betabinomial()`	Beta-binomial Distribution Family Function
`betabinomial.rho()`	Beta-binomial Distribution Family Function (with known rho)
`betabinomialff()`	Beta-binomial Distribution Family Function
`betaff()`	The Two-parameter Beta Distribution Family Function
`dbetageom()` `pbetageom()` `rbetageom()`	The Beta-Geometric Distribution
`betageometric()`	Beta-geometric Distribution Family Function
`dbetanorm()` `pbetanorm()` `qbetanorm()` `rbetanorm()`	The Beta-Normal Distribution
`betaprime()`	The Beta-Prime Distribution
`biamhcop()`	Ali-Mikhail-Haq Distribution Family Function
`dbiamhcop()` `pbiamhcop()` `rbiamhcop()`	Ali-Mikhail-Haq Bivariate Distribution
`biclaytoncop()`	Clayton Copula (Bivariate) Family Function
`dbiclaytoncop()` `rbiclaytoncop()`	Clayton Copula (Bivariate) Distribution
`bifgmcop()`	Farlie-Gumbel-Morgenstern's Bivariate Distribution Family Function
`dbifgmcop()` `pbifgmcop()` `rbifgmcop()`	Farlie-Gumbel-Morgenstern's Bivariate Distribution
`bifgmexp()`	Bivariate Farlie-Gumbel-Morgenstern Exponential Distribution Family Function
`bifrankcop()`	Frank's Bivariate Distribution Family Function
`dbifrankcop()` `pbifrankcop()` `rbifrankcop()`	Frank's Bivariate Distribution
`bigumbelIexp()`	Gumbel's Type I Bivariate Distribution Family Function
`dbilogis()` `pbilogis()` `rbilogis()`	Bivariate Logistic Distribution
`bilogistic()`	Bivariate Logistic Distribution Family Function
`binom2.or()`	Bivariate Binary Regression with an Odds Ratio (Family Function)
`rbinom2.or()` `dbinom2.or()`	Bivariate Odds Ratio Model
`binom2.rho()` `binom2.Rho()`	Bivariate Probit Regression
`rbinom2.rho()` `dbinom2.rho()`	Bivariate Probit Model
`binom3.or()`	Trivariate Binary Regression with Three Odds Ratios (Family Function)
`dbinom3.or()` `rbinom3.or()`	Trivariate Odds Ratio Model
`binomialff()`	Binomial Family Function
`binormal()`	Bivariate Normal Distribution Family Function
`dbinorm()` `pbinorm()` `rbinorm()` `pnorm2()`	Bivariate Normal Distribution Cumulative Distribution Function
`binormalcop()`	Gaussian Copula (Bivariate) Family Function
`dbinormcop()` `pbinormcop()` `rbinormcop()`	Gaussian Copula (Bivariate) Distribution
`biplackettcop()`	Plackett's Bivariate Copula Family Function
`dbiplackcop()` `pbiplackcop()` `rbiplackcop()`	Plackett's Bivariate Copula
`biplot,rrvglm-method` `biplot,qrrvglm-method`	Biplot of Constrained Regression Models
`bisa()`	Birnbaum-Saunders Regression Family Function
`dbisa()` `pbisa()` `qbisa()` `rbisa()`	The Birnbaum-Saunders Distribution
`bistudentt()`	Bivariate Student-t Family Function
`dbistudentt()`	Bivariate Student-t Distribution Density Function
`bmi.nz`	Body Mass Index of New Zealand Adults Data
`borel.tanner()`	Borel-Tanner Distribution Family Function
`dbort()` `rbort()`	The Borel-Tanner Distribution
`brat()`	Bradley Terry Model
`Brat()`	Inputting Data to fit a Bradley Terry Model
`bratt()`	Bradley Terry Model With Ties
`budworm`	Western Spuce Budworm
`calibrate,rrvglm-method` `calibrate,qrrvglm-method` `calibrate,rrvgam-method` `calibrate,Coef.qrrvglm-method`	Calibration for Constrained Regression Models
`calibrate()`	Model Calibrations
`calibrate.qrrvglm()`	Calibration for CQO and CAO models
`calibrate.qrrvglm.control()`	Control Function for CQO/CAO Calibration
`calibrate.rrvglm()`	Calibration for CLO models (RR-VGLMs)
`calibrate.rrvglm.control()`	Control Function for CLO (RR-VGLM) Calibration
`cao()`	Fitting Constrained Additive Ordination (CAO)
`cao.control()`	Control Function for RR-VGAMs (CAO)
`dcard()` `pcard()` `qcard()` `rcard()`	Cardioid Distribution
`cardioid()`	Cardioid Distribution Family Function
`cauchitlink()`	Cauchit Link Function
`cauchy()` `cauchy1()`	Cauchy Distribution Family Function
`cdf.lmscreg()`	Cumulative Distribution Function for LMS Quantile Regression
`cens.gumbel()`	Censored Gumbel Distribution
`cens.normal()`	Censored Normal Distribution
`cens.poisson()`	Censored Poisson Family Function
`cfibrosis`	Cystic Fibrosis Data
`cgo()`	Redirects the user to cqo
`chest.nz`	Chest Pain in NZ Adults Data
`chinese.nz`	Chinese Population in New Zealand 1867–2001 Data
`chisq()`	Chi-squared and Chi Distributions
`clo()`	Redirects the User to rrvglm()
`clogloglink()` `cloglink()`	Complementary Log-log Link Function
`coalminers`	Breathlessness and Wheeze Amongst Coalminers Data
`coefvgam()`	Extract Model Coefficients of a vgam() Object
`coefvlm()`	Extract Model Coefficients
`concoef-method` `concoef,cao-method` `concoef,Coef.cao-method` `concoef,rrvglm-method` `concoef,qrrvglm-method` `concoef,Coef.rrvglm-method` `concoef,Coef.qrrvglm-method`	Constrained (Canonical) Coefficients
`concoef()`	Extract Model Constrained/Canonical Coefficients
`confintvglm()`	Confidence Intervals for Parameters of VGLMs
`constraints()` `constraints.vlm()`	Constraint Matrices
`cops()` `copsvglm()`	Centre of the Parameter Space
`corbet`	Corbet's Butterfly Data
`cqo()`	Fitting Constrained Quadratic Ordination (CQO)
`crashi` `crashf` `crashtr` `crashmc` `crashbc` `crashp` `alcoff` `alclevels`	Crashes on New Zealand Roads in 2009
`cratio()`	Ordinal Regression with Continuation Ratios
`cumulative()`	Ordinal Regression with Cumulative Probabilities
`dagum()`	Dagum Distribution Family Function
`ddagum()` `pdagum()` `qdagum()` `rdagum()`	The Dagum Distribution
`deermice`	Captures of Peromyscus maniculatus (Also Known as Deer Mice).
`deplot.lmscreg()`	Density Plot for LMS Quantile Regression
`depvar()`	Response Variable Extracted
`df.residual_vlm()`	Residual Degrees-of-Freedom
`dgaitdplot()`	Plotting the GAITD Combo Density
`diffzeta()`	Differenced Zeta Distribution Family Function
`ddiffzeta()` `pdiffzeta()` `qdiffzeta()` `rdiffzeta()`	Differenced Zeta Distribution
`dirichlet()`	Fitting a Dirichlet Distribution
`dirmul.old()`	Fitting a Dirichlet-Multinomial Distribution
`dirmultinomial()`	Fitting a Dirichlet-Multinomial Distribution
`double.cens.normal()`	Univariate Normal Distribution with Double Censoring
`double.expbinomial()`	Double Exponential Binomial Distribution Family Function
`add1(<vglm>)` `drop1(<vglm>)`	Add or Drop All Possible Single Terms to/from a Model
`ducklings`	Relative Frequencies of Serum Proteins in White Pekin Ducklings
`eCDF.vglm()`	Empirical Cumulative Distribution Function
`deexp()` `peexp()` `qeexp()` `reexp()`	Expectiles of the Exponential Distribution
`denorm()` `penorm()` `qenorm()` `renorm()`	Expectiles of the Normal Distribution
`enzyme`	Enzyme Data
`erf()` `erfc()`	Error Function, and variants
`erlang()`	Erlang Distribution
`deunif()` `peunif()` `qeunif()` `reunif()`	Expectiles of the Uniform Distribution
`expexpff()`	Exponentiated Exponential Distribution
`expexpff1()`	Exponentiated Exponential Distribution
`expgeometric()`	Exponential Geometric Distribution Family Function
`dexpgeom()` `pexpgeom()` `qexpgeom()` `rexpgeom()`	The Exponential Geometric Distribution
`expint()` `expexpint()` `expint.E1()`	The Exponential Integral and Variants
`explink()`	Exponential Link Function
`dexplog()` `pexplog()` `qexplog()` `rexplog()`	The Exponential Logarithmic Distribution
`explogff()`	Exponential Logarithmic Distribution Family Function
`exponential()`	Exponential Distribution
`exppoisson()`	Exponential Poisson Distribution Family Function
`dexppois()` `pexppois()` `qexppois()` `rexppois()`	The Exponential Poisson Distribution
`dextbetabinom()` `pextbetabinom()` `qextbetabinom()` `rextbetabinom()`	The Extended Beta-Binomial Distribution
`extbetabinomial()`	Extended Beta-binomial Distribution Family Function
`dextlogF()`	Extended log-F Distribution
`extlogF1()`	Extended log-F Distribution Family Function
`familyname()` `familyname.vlm()`	Family Function Name
`felix()`	Felix Distribution Family Function
`dfelix()`	The Felix Distribution
`fff()`	F Distribution Family Function
`fill1()`	Creates a Matrix of Appropriate Dimension
`finney44`	Toxicity trial for insects
`fisherzlink()`	Fisher's Z Link Function
`fisk()`	Fisk Distribution family function
`dfisk()` `pfisk()` `qfisk()` `rfisk()`	The Fisk Distribution
`fittedvlm()`	Fitted Values of a VLM object
`fix.crossing.vglm()`	Fixing a Quantile Regression having Crossing
`flourbeetle`	Mortality of Flour Beetles from Carbon Disulphide
`dfoldnorm()` `pfoldnorm()` `qfoldnorm()` `rfoldnorm()`	The Folded-Normal Distribution
`foldnormal()`	Folded Normal Distribution Family Function
`foldsqrtlink()` `sqrtlink()`	Square Root and Folded Square Root Link Functions
`formula(<vlm>)` `formulavlm()` `term.names()` `term.namesvlm()`	Model Formulae and Term Names for VGLMs
`frechet()`	Frechet Distribution Family Function
`dfrechet()` `pfrechet()` `qfrechet()` `rfrechet()`	The Frechet Distribution
`freund61()`	Freund's (1961) Bivariate Extension of the Exponential Distribution
`dgaitdbinom()` `pgaitdbinom()` `qgaitdbinom()` `rgaitdbinom()`	Generally Altered, Inflated, Truncated and Deflated Binomial Distribution
`gaitdlog()`	Generally Altered, Inflated, Truncated and Deflated Logarithmic Regression
`dgaitdlog()` `pgaitdlog()` `qgaitdlog()` `rgaitdlog()`	Generally Altered, Inflated, Truncated and Deflated Logarithmic Distribution
`dgaitdnbinom()` `pgaitdnbinom()` `qgaitdnbinom()` `rgaitdnbinom()`	Generally Altered, Inflated, Truncated and Deflated Negative Binomial Distribution
`gaitdnbinomial()`	Generally Altered, Inflated, Truncated and Deflated Negative Binomial Regression
`dgaitdpois()` `pgaitdpois()` `qgaitdpois()` `rgaitdpois()`	Generally Altered, Inflated, Truncated and Deflated Poisson Distribution
`gaitdpoisson()`	Generally Altered, Inflated, Truncated and Deflated Poisson Regression
`gaitdzeta()`	Generally Altered, Inflated, Truncated and Deflated Zeta Regression
`dgaitdzeta()` `pgaitdzeta()` `qgaitdzeta()` `rgaitdzeta()`	Generally Altered, Inflated and Truncated and Deflated Zeta Distribution
`gamma1()`	1-parameter Gamma Regression Family Function
`gamma2()`	2-parameter Gamma Regression Family Function
`gammaR()`	2-parameter Gamma Regression Family Function
`gammaff.mm()`	Multivariate Gamma Family Function: Mathai and Moschopoulos (1992)
`gammahyperbola()`	Gamma Hyperbola Bivariate Distribution
`garma()`	GARMA (Generalized Autoregressive Moving-Average) Models
`genbetaII()`	Generalized Beta Distribution of the Second Kind
`dgenbetaII()`	The Generalized Beta II Distribution
`gengamma.stacy()`	Generalized Gamma distribution family function
`dgengamma.stacy()` `pgengamma.stacy()` `qgengamma.stacy()` `rgengamma.stacy()`	Generalized Gamma Distribution
`dgenpois0()` `pgenpois0()` `qgenpois0()` `rgenpois0()`	Generalized Poisson Distribution (Original Parameterization)
`dgenpois1()` `pgenpois1()` `qgenpois1()` `rgenpois1()` `dgenpois2()` `pgenpois2()` `qgenpois2()` `rgenpois2()`	Generalized Poisson Distribution (GP-1 and GP-2 Parameterizations of the Mean)
`genpoisson0()`	Generalized Poisson Regression (Original Parameterization)
`genpoisson1()`	Generalized Poisson Regression (GP-1 Parameterization)
`genpoisson2()`	Generalized Poisson Regression (GP-2 Parameterization)
`genrayleigh()`	Generalized Rayleigh Distribution Family Function
`dgenray()` `pgenray()` `qgenray()` `rgenray()`	The Generalized Rayleigh Distribution
`gensh()`	Generalized Secant Hyperbolic Regression Family Function
`dgensh()` `pgensh()` `qgensh()` `rgensh()`	Generalized Secant Hyperbolic Distribution
`geometric()` `truncgeometric()`	Geometric (Truncated and Untruncated) Distributions
`get.smart()`	Retrieve One Component of “.smart.prediction”
`get.smart.prediction()`	Retrieves “.smart.prediction”
`gev()` `gevff()`	Generalized Extreme Value Regression Family Function
`dgev()` `pgev()` `qgev()` `rgev()`	The Generalized Extreme Value Distribution
`gew`	General Electric and Westinghouse Data
`goffset()`	GAITD Offset for the GTE Method
`gompertz()`	Gompertz Regression Family Function
`dgompertz()` `pgompertz()` `qgompertz()` `rgompertz()`	Gompertz Distribution
`gpd()`	Generalized Pareto Distribution Regression Family Function
`dgpd()` `pgpd()` `qgpd()` `rgpd()`	The Generalized Pareto Distribution
`grain.us`	Grain Prices Data in USA
`grc()` `rcim()`	Row-Column Interaction Models including Goodman's RC Association Model and Unconstrained Quadratic Ordination
`gumbel()` `gumbelff()`	Gumbel Regression Family Function
`gumbelII()`	Gumbel-II Regression Family Function
`dgumbelII()` `pgumbelII()` `qgumbelII()` `rgumbelII()`	The Gumbel-II Distribution
`dgumbel()` `pgumbel()` `qgumbel()` `rgumbel()`	The Gumbel Distribution
`guplot()` `guplot.default()` `guplot.vlm()`	Gumbel Plot
`has.intercept()` `has.interceptvlm()`	Has a Fitted VGLM Got an Intercept Term?
`hatvalues()` `hatvaluesvlm()` `hatplot()` `hatplot.vlm()` `dfbetavlm()`	Hat Values and Regression Deletion Diagnostics
`hdeff()` `hdeff.vglm()` `hdeff.numeric()` `hdeff.matrix()`	Hauck-Donner Effects: A Detection Test for Wald Tests
`hdeffsev()`	Hauck-Donner Effect: Severity Measures
`hdeffsev0()` `hdeffsev2()`	Hauck-Donner Effect: Severity Measures
`hormone`	Hormone Assay Data
`hspider`	Hunting Spider Data
`huber1()` `huber2()`	Huber's Least Favourable Distribution Family Function
`dhuber()` `edhuber()` `rhuber()` `qhuber()` `phuber()`	Huber's Least Favourable Distribution
`hunua`	Hunua Ranges Data
`hurea()`	Husler-Reiss Angular Surface Distribution Family Function
`dhurea()`	The Husler-Reiss Angular Surface Distribution
`hyperg()`	Hypergeometric Family Function
`hypersecant()` `hypersecant01()`	Hyperbolic Secant Regression Family Function
`hzeta()`	Haight's Zeta Family Function
`dhzeta()` `phzeta()` `qhzeta()` `rhzeta()`	Haight's Zeta Distribution
`iam()`	Index from Array to Matrix
`identitylink()` `negidentitylink()`	Identity Link Function
`inv.binomial()`	Inverse Binomial Distribution Family Function
`inv.gaussianff()`	Inverse Gaussian Distribution Family Function
`inv.lomax()`	Inverse Lomax Distribution Family Function
`dinv.lomax()` `pinv.lomax()` `qinv.lomax()` `rinv.lomax()`	The Inverse Lomax Distribution
`inv.paralogistic()`	Inverse Paralogistic Distribution Family Function
`dinv.paralogistic()` `pinv.paralogistic()` `qinv.paralogistic()` `rinv.paralogistic()`	The Inverse Paralogistic Distribution
`is.buggy()` `is.buggy.vlm()`	Does the Fitted Object Suffer from a Known Bug?
`is.crossing.vglm()`	Quantile Crossing Detection
`is.parallel.matrix()` `is.parallel.vglm()`	Parallelism Constraint Matrices
`is.smart()`	Test For a Smart Object
`is.zero.matrix()` `is.zero.vglm()`	Zero Constraint Matrices
`kendall.tau()`	Kendall's Tau Statistic
`kumar()`	Kumaraswamy Regression Family Function
`dkumar()` `pkumar()` `qkumar()` `rkumar()`	The Kumaraswamy Distribution
`lakeO`	Annual catches on Lake Otamangakau from October 1974 to October 1989
`lambertW()`	The Lambert W Function
`laplace()`	Laplace Regression Family Function
`dlaplace()` `plaplace()` `qlaplace()` `rlaplace()`	The Laplace Distribution
`latvar()` `lv()`	Latent Variables
`leipnik()`	Leipnik Regression Family Function
`lerch()`	Lerch Phi Function
`leukemia`	Acute Myelogenous Leukemia Survival Data
`levy()`	Levy Distribution Family Function
`dlgamma()` `plgamma()` `qlgamma()` `rlgamma()`	The Log-Gamma Distribution
`lgamma1()` `lgamma3()`	Log-gamma Distribution Family Function
`dlind()` `plind()` `rlind()`	The Lindley Distribution
`lindley()`	1-parameter Lindley Distribution
`linkfun()` `linkfunvlm()`	Link Functions for VGLMs
`lino()`	Generalized Beta Distribution Family Function
`dlino()` `plino()` `qlino()` `rlino()`	The Generalized Beta Distribution (Libby and Novick, 1982)
`lirat`	Low-iron Rat Teratology Data
`lms.bcg()`	LMS Quantile Regression with a Box-Cox transformation to a Gamma Distribution
`lms.bcn()`	LMS Quantile Regression with a Box-Cox Transformation to Normality
`lms.yjn()` `lms.yjn2()`	LMS Quantile Regression with a Yeo-Johnson Transformation to Normality
`log1mexp()` `log1pexp()`	Logarithms with an Unit Offset and Exponential Term
`logF()`	Natural Exponential Family Generalized Hyperbolic Secant Distribution Family Function
`dlogF()`	log F Distribution
`logLik(<vlm>)`	Extract Log-likelihood for VGLMs/VGAMs/etc.
`dlog()` `plog()` `qlog()` `rlog()`	Logarithmic Distribution
`logclink()`	Complementary-log Link Function
`logff()`	Logarithmic Distribution
`logistic1()` `logistic()`	Logistic Distribution Family Function
`logitlink()` `extlogitlink()`	Logit Link Function
`logitoffsetlink()`	Logit-with-an-Offset Link Function
`loglinb2()`	Loglinear Model for Two Binary Responses
`loglinb3()`	Loglinear Model for Three Binary Responses
`loglink()` `negloglink()` `logneglink()`	Log Link Function, and Variants
`logloglink()` `loglogloglink()`	Log-log and Log-log-log Link Functions
`lognormal()`	Lognormal Distribution
`logofflink()` `log1plink()`	Log Link Function with an Offset
`lomax()`	Lomax Distribution Family Function
`dlomax()` `plomax()` `qlomax()` `rlomax()`	The Lomax Distribution
`lpossums`	Leadbeater's Possums
`lqnorm()`	Minimizing the L-q norm Family Function
`lrt.stat()` `lrt.stat.vlm()`	Likelihood Ratio Test Statistics Evaluated at the Null Values
`lrtest()` `lrtest_vglm()`	Likelihood Ratio Test of Nested Models
`lvplot()`	Latent Variable Plot
`lvplot.qrrvglm()`	Latent Variable Plot for QO models
`lvplot.rrvglm()`	Latent Variable Plot for RR-VGLMs
`machinists`	Machinists Accidents
`makeham()`	Makeham Regression Family Function
`dmakeham()` `pmakeham()` `qmakeham()` `rmakeham()`	The Makeham Distribution
`margeff()`	Marginal Effects for Several Categorical Response Models
`marital.nz`	New Zealand Marital Data
`maxwell()`	Maxwell Regression Family Function
`dmaxwell()` `pmaxwell()` `qmaxwell()` `rmaxwell()`	The Maxwell Distribution
`mccullagh89()`	McCullagh (1989) Distribution Family Function
`meangaitd()`	Mean of the GAITD Combo Density
`melbmaxtemp`	Melbourne Daily Maximum Temperatures
`meplot()` `meplot.default()` `meplot.vlm()`	Mean Excess Plot
`micmen()`	Michaelis-Menten Model
`mills.ratio()` `mills.ratio2()`	Mills Ratio
`mix2exp()`	Mixture of Two Exponential Distributions
`mix2normal()`	Mixture of Two Univariate Normal Distributions
`mix2poisson()`	Mixture of Two Poisson Distributions
`model.framevlm()`	Construct the Model Frame of a VLM Object
`model.matrixqrrvglm()`	Construct the Model Matrix of a QRR-VGLM Object
`model.matrixvlm()`	Construct the Design Matrix of a VLM Object
`moffset()`	Matrix Offset
`multilogitlink()`	Multi-logit Link Function
`multinomial()`	Multinomial Logit Model
`nakagami()`	Nakagami Regression Family Function
`dnaka()` `pnaka()` `qnaka()` `rnaka()`	Nakagami Distribution
`nbcanlink()`	Negative Binomial Canonical Link Function
`negbinomial()` `polya()` `polyaR()`	Negative Binomial Distribution Family Function
`negbinomial.size()`	Negative Binomial Distribution Family Function With Known Size
`niters()` `niters.vlm()`	Number of Iterations
`normal.vcm()`	Univariate Normal Distribution as a Varying-Coefficient Model
`nparam()` `nparam.vlm()` `nparam.vgam()` `nparam.rrvglm()` `nparam.drrvglm()` `nparam.qrrvglm()` `nparam.rrvgam()`	Number of Parameters
`olym08` `olym12`	2008 and 2012 Summer Olympic Final Medal Count Data
`ordpoisson()`	Ordinal Poisson Family Function
`ordsup()` `ordsup.vglm()`	Ordinal Superiority Measures
`oxtemp`	Oxford Temperature Data
`paralogistic()`	Paralogistic Distribution Family Function
`dparalogistic()` `pparalogistic()` `qparalogistic()` `rparalogistic()`	The Paralogistic Distribution
`paretoIV()` `paretoIII()` `paretoII()`	Pareto(IV/III/II) Distribution Family Functions
`dparetoIV()` `pparetoIV()` `qparetoIV()` `rparetoIV()` `dparetoIII()` `pparetoIII()` `qparetoIII()` `rparetoIII()` `dparetoII()` `pparetoII()` `qparetoII()` `rparetoII()` `dparetoI()` `pparetoI()` `qparetoI()` `rparetoI()`	The Pareto(IV/III/II) Distributions
`paretoff()` `truncpareto()`	Pareto and Truncated Pareto Distribution Family Functions
`perks()`	Perks Distribution Family Function
`dperks()` `pperks()` `qperks()` `rperks()`	The Perks Distribution
`perspqrrvglm()`	Perspective plot for QRR-VGLMs
`pgamma.deriv()`	Derivatives of the Incomplete Gamma Integral
`pgamma.deriv.unscaled()`	Derivatives of the Incomplete Gamma Integral (Unscaled Version)
`plotdeplot.lmscreg()`	Density Plot for LMS Quantile Regression
`plotdgaitd()` `plotdgaitd.vglm()`	Plotting the GAITD Combo Density from a GAITD Regression Object
`plotqrrvglm()`	Model Diagnostic Plots for QRR-VGLMs
`plotqtplot.lmscreg()`	Quantile Plot for LMS Quantile Regression
`plotrcim0()`	Main Effects Plot for a Row-Column Interaction Model (RCIM)
`plotvgam()`	Default VGAM Plotting
`plotvgam.control()`	Control Function for plotvgam()
`plotvglm()`	Plots for VGLMs
`pneumo`	Pneumoconiosis in Coalminers Data
`poisson.points()`	Poisson-points-on-a-plane/volume Distances Distribution
`dpois.points()`	Poisson Points Distribution
`poissonff()`	Poisson Regression
`dpolono()` `ppolono()` `rpolono()`	The Poisson Lognormal Distribution
`rposbern()` `dposbern()`	Positive Bernoulli Sequence Model
`posbernoulli.b()`	Positive Bernoulli Family Function with Behavioural Effects
`posbernoulli.t()`	Positive Bernoulli Family Function with Time Effects
`posbernoulli.tb()`	Positive Bernoulli Family Function with Time and Behavioural Effects
`posbinomial()`	Positive Binomial Distribution Family Function
`dposgeom()` `pposgeom()` `qposgeom()` `rposgeom()`	Positive-Geometric Distribution
`posnegbinomial()`	Positive Negative Binomial Distribution Family Function
`dposnorm()` `pposnorm()` `qposnorm()` `rposnorm()`	The Positive-Normal Distribution
`posnormal()`	Positive Normal Distribution Family Function
`pospoisson()`	Positive Poisson Distribution Family Function
`powerlink()`	Power Link Function
`prats`	Pregnant Rats Toxological Experiment Data
`predictqrrvglm()`	Predict Method for a CQO fit
`predictvglm()`	Predict Method for a VGLM fit
`prentice74()`	Prentice (1974) Log-gamma Distribution
`prinia`	Yellow-bellied Prinia
`probitlink()`	Probit Link Function
`profilevglm()`	Method for Profiling vglm Objects
`propodds()`	Proportional Odds Model for Ordinal Regression
`prplot()` `prplot.control()`	Probability Plots for Categorical Data Analysis
`put.smart()`	Adds a List to the End of the List “.smart.prediction”
`qrrvglm.control()`	Control Function for QRR-VGLMs (CQO)
`qtplot.gumbel()`	Quantile Plot for Gumbel Regression
`qtplot.lmscreg()`	Quantile Plot for LMS Quantile Regression
`qvar()`	Quasi-variances Extraction Function
`rayleigh()` `cens.rayleigh()`	Rayleigh Regression Family Function
`drayleigh()` `prayleigh()` `qrayleigh()` `rrayleigh()`	Rayleigh Distribution
`rcqo()`	Constrained Quadratic Ordination
`rdiric()`	The Dirichlet distribution
`rec.exp1()`	Upper Record Values from a 1-parameter Exponential Distribution
`rec.normal()`	Upper Record Values from a Univariate Normal Distribution
`reciprocallink()` `negreciprocallink()`	Reciprocal Link Function
`residualsvglm()`	Residuals for a VGLM fit
`rhobitlink()`	Rhobit Link Function
`drice()` `price()` `qrice()` `rrice()`	The Rice Distribution
`riceff()`	Rice Distribution Family Function
`rigff()`	Reciprocal Inverse Gaussian distribution
`rlplot.gevff()`	Return Level Plot for GEV Fits
`rootogram4()` `rootogram4vglm()`	Rootograms (S4 generic) for Assessing Goodness of Fit of Probability Models
`round2()`	Rounding of Numbers to Base 2
`rrar()`	Nested Reduced-rank Autoregressive Models for Multiple Time Series
`rrvglm-class`	Class “rrvglm”
`rrvglm()`	Fitting Reduced-Rank Vector Generalized Linear Models (RR-VGLMs) and Doubly Constrained RR-VGLMs (DRR-VGLMs)
`rrvglm.control()`	Control Function for rrvglm()
`rrvglm.optim.control()`	Control Function for rrvglm() Calling optim()
`ruge`	Rutherford-Geiger Polonium Data
`s()`	Defining Smooths in VGAM Formulas
`sc.studentt2()`	Scaled Student t Distribution with 2 df Family Function
`dsc.t2()` `psc.t2()` `qsc.t2()` `rsc.t2()`	Expectiles/Quantiles of the Scaled Student t Distribution with 2 Df
`score.stat()` `score.stat.vlm()`	Rao's Score Test Statistics Evaluated at the Null Values
`seglines()`	Hauck-Donner Effects: Segmented Lines Plot
`seq2binomial()`	The Two-stage Sequential Binomial Distribution Family Function
`setup.smart()`	Smart Prediction Setup
`simplex()`	Simplex Distribution Family Function
`dsimplex()` `rsimplex()`	Simplex Distribution
`simulate(<vlm>)`	Simulate Responses for VGLMs and VGAMs
`sinmad()`	Singh-Maddala Distribution Family Function
`dsinmad()` `psinmad()` `qsinmad()` `rsinmad()`	The Singh-Maddala Distribution
`skellam()`	Skellam Distribution Family Function
`dskellam()` `rskellam()`	The Skellam Distribution
`dskewnorm()` `rskewnorm()`	Skew-Normal Distribution
`skewnormal()`	Univariate Skew-Normal Distribution Family Function
`slash()`	Slash Distribution Family Function
`dslash()` `pslash()` `rslash()`	Slash Distribution
`sloglink()` `lcsloglink()`	Square root–Log Link Mixtures
`sm.os()`	Defining O'Sullivan Spline Smooths in VGAM Formulas
`sm.ps()`	Defining Penalized Spline Smooths in VGAM Formulas
`smart.expression`	S Expression for Smart Functions
`smart.mode.is()`	Determine What Mode the Smart Prediction is In
`sm.bs()` `sm.ns()` `sm.poly()` `sm.scale()`	Smart Prediction
`specials()` `specialsvglm()`	Special Values or Quantities in a Fitted Object
`spikeplot()`	Spike Plot
`sratio()`	Ordinal Regression with Stopping Ratios
`step4()` `step4vglm()`	Choose a model by AIC in a Stepwise Algorithm
`studentt()` `studentt2()` `studentt3()`	Student t Distribution
`summary(<drrvglm>)` `show(<summary.drrvglm>)` `summary(<rrvglm>)` `show(<summary.rrvglm>)`	Summarizing Reduced Rank Vector Generalized Linear Model (RR-VGLM) and Doubly constrained RR-VGLM Fits
`summarypvgam()` `show(<summary.pvgam>)`	Summarizing Penalized Vector Generalized Additive Model Fits
`summaryvgam()` `show(<summary.vgam>)`	Summarizing Vector Generalized Additive Model Fits
`summaryvglm()` `show(<summary.vglm>)`	Summarizing Vector Generalized Linear Model Fits
`tobit()`	Tobit Regression
`dtobit()` `ptobit()` `qtobit()` `rtobit()`	The Tobit Distribution
`topple()`	Topp-Leone Distribution Family Function
`dtopple()` `ptopple()` `qtopple()` `rtopple()`	The Topp-Leone Distribution
`toxop`	Toxoplasmosis Data
`dtriangle()` `ptriangle()` `qtriangle()` `rtriangle()`	The Triangle Distribution
`trim.constraints()`	Trimmed Constraint Matrices
`trinormal()`	Trivariate Normal Distribution Family Function
`dtrinorm()` `rtrinorm()`	Trivariate Normal Distribution Density and Random Variates
`trplot()`	Trajectory Plot
`trplot.qrrvglm()`	Trajectory plot for QRR-VGLMs
`dtruncpareto()` `ptruncpareto()` `qtruncpareto()` `rtruncpareto()`	The Truncated Pareto Distribution
`truncweibull()`	Truncated Weibull Distribution Family Function
`ucberk`	University California Berkeley Graduate Admissions
`uninormal()`	Univariate Normal Distribution
`vcovvlm()` `vcovrrvglm()` `vcovdrrvglm()` `vcovqrrvglm()`	Calculate Variance-Covariance Matrix for a Fitted VLM or RR-VGLM or DRR-VGLM or QRR-VGLM Object
`venice` `venice90`	Venice Maximum Sea Levels Data
`vgam-class`	Class “vgam”
`vgam()`	Fitting Vector Generalized Additive Models
`vgam.control()`	Control Function for vgam()
`vglm-class`	Class “vglm”
`vglm()`	Fitting Vector Generalized Linear Models
`vglm.control()`	Control Function for vglm()
`vglmff-class`	Class “vglmff”
`vonmises()`	von Mises Distribution Family Function
`vplot.profile()` `vpairs.profile()`	Plotting Functions for 'profile' Objects
`vsmooth.spline()`	Vector Cubic Smoothing Spline
`waitakere`	Waitakere Ranges Data
`wald.stat()` `wald.stat.vlm()`	Wald Test Statistics Evaluated at the Null Values
`waldff()`	Wald Distribution Family Function
`weibull.mean()`	Weibull Distribution Family Function, Parameterized by the Mean
`weibullR()`	Weibull Distribution Family Function
`weightsvglm()`	Prior and Working Weights of a VGLM fit
`wine`	Bitterness in Wine Data
`wrapup.smart()`	Cleans Up After Smart Prediction
`wsdm()`	The WSDM Function
`yeo.johnson()`	Yeo-Johnson Transformation
`yulesimon()`	Yule-Simon Family Function
`dyules()` `pyules()` `qyules()` `ryules()`	Yule-Simon Distribution
`dzabinom()` `pzabinom()` `qzabinom()` `rzabinom()`	Zero-Altered Binomial Distribution
`zabinomial()` `zabinomialff()`	Zero-Altered Binomial Distribution
`dzageom()` `pzageom()` `qzageom()` `rzageom()`	Zero-Altered Geometric Distribution
`zageometric()` `zageometricff()`	Zero-Altered Geometric Distribution
`dzanegbin()` `pzanegbin()` `qzanegbin()` `rzanegbin()`	Zero-Altered Negative Binomial Distribution
`zanegbinomial()` `zanegbinomialff()`	Zero-Altered Negative Binomial Distribution
`dzapois()` `pzapois()` `qzapois()` `rzapois()`	Zero-Altered Poisson Distribution
`zapoisson()` `zapoissonff()`	Zero-Altered Poisson Distribution
`zero`	The zero Argument in VGAM Family Functions
`zeta()`	Riemann's (and the Hurwitz) Zeta Function, With Derivatives
`dzeta()` `pzeta()` `qzeta()` `rzeta()`	The Zeta Distribution
`zetaff()`	Zeta Distribution Family Function
`dzibinom()` `pzibinom()` `qzibinom()` `rzibinom()`	Zero-Inflated Binomial Distribution
`zibinomial()` `zibinomialff()`	Zero-Inflated Binomial Distribution Family Function
`dzigeom()` `pzigeom()` `qzigeom()` `rzigeom()`	Zero-Inflated Geometric Distribution
`zigeometric()` `zigeometricff()`	Zero-Inflated Geometric Distribution Family Function
`dzinegbin()` `pzinegbin()` `qzinegbin()` `rzinegbin()`	Zero-Inflated Negative Binomial Distribution
`zinegbinomial()` `zinegbinomialff()`	Zero-Inflated Negative Binomial Distribution Family Function
`zipebcom()`	Exchangeable Bivariate cloglog Odds-ratio Model From a Zero-inflated Poisson Distribution
`zipf()`	Zipf Distribution Family Function
`dzipf()` `pzipf()` `qzipf()` `rzipf()`	The Zipf Distribution
`dzipfmb()` `pzipfmb()` `qzipfmb()` `rzipfmb()`	The Zipf-Mandelbrot Distribution
`dzipois()` `pzipois()` `qzipois()` `rzipois()`	Zero-Inflated Poisson Distribution
`zipoisson()` `zipoissonff()`	Zero-Inflated Poisson Distribution Family Function
`zoabetaR()`	Zero- and One-Inflated Beta Distribution Family Function
`dzoabeta()` `pzoabeta()` `qzoabeta()` `rzoabeta()`	The Zero/One-Inflated Beta Distribution

Reference

All functions