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prodlim (version 1.4.2)

Product-limit estimation. Kaplan-Meier and Aalen-Johansson method for censored event history (survival) analysis

Description

Fast and user friendly implementation of nonparametric estimators for censored event history (survival) analysis.

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Version

Install

install.packages('prodlim')

Monthly Downloads

122,547

Version

1.4.2

License

GPL (>= 2)

Maintainer

Thomas Alexander Gerds

Last Published

January 14th, 2014

Functions in prodlim (1.4.2)

jackknife

Compute jackknife pseudo values.
leaveOneOut

Compute jackknife pseudo values.
getEvent

Extract a column from an event history object.
NN

Dummy function
crModel

Competing risks model for simulation
getStates

States of a multi-state model
predict.prodlim

Predicting event probabilities from product limit estimates
summary.Hist

Summary of event histories
plotIllnessDeathModel

Plotting an illness-death-model.
prodlim

product limit method
predictSurvIndividual

Predict individual survival probabilities
Hist

Create an event history response variable
PercentAxis

Percentage-labeled axis.
plot.prodlim

Plotting event probabilities over time
confInt

Add point-wise confidence limits to the graphs of Kaplan-Meier and Aalen-Johannsen estimates of survival and cumulative incidence.
backGround

Background and grid color control.
SimCompRisk

Simulate competing risks data
SmartControl

Function to facilitate the control of arguments passed to subroutines.
print.prodlim

Print objects in the prodlim library
plotCompetingRiskModel

Plotting a competing-risk-model.
meanNeighbors

Helper function to obtain running means for prodlim objects.
sindex

Index for evaluation of step functions.
summary.prodlim

Summary method for prodlim objects.
plot.Hist

Box-arrow diagrams for multi-state models.
neighborhood

Symmetric neighborhoods for kernel smoothing
markTime

Marking product-limit plots at the censored times.
quantile.prodlim

Quantiles for Kaplan-Meier and Aalen-Johannsen estimates.
survModel

Survival model for simulation
atRisk

Drawing numbers of subjects at-risk of experiencing an event below Kaplan-Meier and Aalen-Johannsen plots.
SimSurv

Simulate survival data
row.match

Identifying rows in a matrix or data.frame
clusterTestData

Data set with a clustered data structure, for testing the product limit method.