Artificial Example for Binomial Regression

A simple artificial regression example data set with 3 latent classes, one independent variable x and a concomitant variable w.

data("BregFix")

Format

A data frame with 200 observations on the following 5 variables.

yes

number of successes

no

number of failures

x

independent variable

w

concomitant variable, a factor with levels 0 1

class

latent class memberships

Examples

data("BregFix", package = "flexmix")
Model <- FLXMRglmfix(family="binomial",
                     nested = list(formula = c(~x, ~0), k = c(2, 1)))
Conc <- FLXPmultinom(~w)
FittedBin <- initFlexmix(cbind(yes, no) ~ 1, data = BregFix,
                         k = 3, model = Model, concomitant = Conc)
#> 3 : * * *
summary(FittedBin)
#> 
#> Call:
#> initFlexmix(cbind(yes, no) ~ 1, data = BregFix, model = Model, 
#>     concomitant = Conc, k = 3)
#> 
#>        prior size post>0 ratio
#> Comp.1 0.443   90    146 0.616
#> Comp.2 0.216   42     54 0.778
#> Comp.3 0.341   68    123 0.553
#> 
#> 'log Lik.' -425.5969 (df=8)
#> AIC: 867.1939   BIC: 893.5804 
#>