Package index • prodlim

All functions
`EventHistory.frame()`	Event history frame
`Hist()`	Create an event history object
`List2Matrix()`	Reduce list to a matrix or data.frame with names as new columns
`PercentAxis()`	Percentage-labeled axis.
`SimCompRisk()`	Simulate competing risks data
`SimSurv()`	Simulate survival data
`SmartControl()`	Function to facilitate the control of arguments passed to subroutines.
`as.data.frame(<prodlim>)`	Turn prodlim objects into a data.frame
`as.data.table(<prodlim>)`	Turn prodlim objects into a `data.table`
`as_tibble.prodlim()`	Turn prodlim objects into a `tibble`
`atRisk()`	Drawing numbers of subjects at-risk of experiencing an event below Kaplan-Meier and Aalen-Johansen plots.
`backGround()`	Background and grid color control.
`checkCauses()`	Check availability of a cause in competing risk settings
`confInt()`	Add point-wise confidence limits to the graphs of Kaplan-Meier and Aalen-Johansen estimates.
`crModel()`	Competing risks model for simulation
`dimColor()`	Dim a given color to a specified density
`followup()`	Estimation of the median potential followup time.
`getEvent()`	Extract a column from an event history object.
`getStates()`	States of a multi-state model
`ggprodlim()`	ggplot2::ggplot support for Kaplan-Meier and Aalen-Johansen estimators
`head(<Hist>)`	Check the head of an event history object
`is.na(<Hist>)`	Check for missing values in event history object
`jackknife()`	Compute jackknife pseudo values.
`leaveOneOut()`	Compute jackknife pseudo values.
`markTime()`	Marking product-limit plots at the censored times.
`meanNeighbors()`	Helper function to obtain running means for prodlim objects.
`model.design()`	Extract a design matrix and specials from a model.frame
`neighborhood()`	Nearest neighborhoods for kernel smoothing
`parseSpecialNames()`	Parse special terms
`plot(<Hist>)`	Box-arrow diagrams for multi-state models.
`plot(<prodlim>)`	Plotting event probabilities over time
`plotCompetingRiskModel()`	Plotting a competing-risk-model.
`plotIllnessDeathModel()`	Plotting an illness-death-model.
`predict(<prodlim>)`	Predicting event probabilities from product limit estimates
`predictSurvIndividual()`	Predict individual survival probabilities
`print(<prodlim>)`	Print objects in the prodlim library
`prodlim()`	product limit method
`quantile(<prodlim>)`	Quantiles for Kaplan-Meier and Aalen-Johansen estimates.
`redist()`	Calculation of Efron's re-distribution to the right algorithm to obtain the Kaplan-Meier estimate.
`row.match()`	Identifying rows in a matrix or data.frame
`sindex()`	Index for evaluation of step functions.
`stopTime()`	Stop the time of an event history object
`str(<Hist>)`	Check the structure of an event history object
`strip.terms()`	Strip special functions from terms
`[`(<Hist>)	Subset an event history object
`subset(<Hist>)`	Subset an event history object
`summary(<Hist>)`	Summary of event histories
`summary(<prodlim>)`	Summary method for prodlim objects.
`survModel()`	Survival model for simulation
`tail(<Hist>)`	Check the tail of an event history object

Reference

All functions