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prodlim (version 1.3.2)
Product Limit Estimation for event history and survival analysis
Description
Fast and user friendly nonparametric estimation in censored survival (event history) analysis.
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Install
install.packages('prodlim')
Monthly Downloads
119,135
Version
1.3.2
License
GPL (>= 2)
Maintainer
Thomas Alexander Gerds
Last Published
August 27th, 2012
Functions in prodlim (1.3.2)
Search functions
Hist
Create an event history response variable
clusterTestData
Data set with a clustered data structure, for testing the product limit method.
SmartControl
Function to facilitate the control of arguments passed to subroutines.
summary.prodlim
Summary method for prodlim objects.
quantile.prodlim
Quantiles for Kaplan-Meier and Aalen-Johannsen estimates.
confInt
Add point-wise confidence limits to the graphs of Kaplan-Meier and Aalen-Johannsen estimates of survival and cumulative incidence.
NN
Dummy function
PercentAxis
Percentage-labeled axis.
row.match
Identifying rows in a matrix or data.frame
predict.prodlim
Predicting event probabilities from product limit estimates
sampleCompriskFrame
Dummy data set used for illustrating the use of some functions in the package.
prodlim
product limit method
neighborhood
Symmetric neighborhoods for kernel smoothing
markTime
Marking product-limit plots at the censored times.
getEvent
Extract a column from an event history object.
plot.Hist
Box-arrow diagrams for multi-state models.
plot.prodlim
Plotting event probabilities over time
plot.SimSurv
Plot simulated survival data
print.prodlim
Print objects in the prodlim library
meanNeighbors
Helper function to obtain running means for prodlim objects.
backGround
Background and grid color control.
atRisk
Drawing numbers of subjects at-risk of experiencing an event below Kaplan-Meier and Aalen-Johannsen plots.
SimSurv
Simulating survival data
summary.Hist
Summary of event histories
sindex
Index for evaluation of step functions.
predictSurvIndividual
Predict individual survival probabilities
plotIllnessDeathModel
Plotting an illness-death-model.
jackknife
Compute jackknife pseudo values.