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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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Install
install.packages('prodlim')
Monthly Downloads
119,135
Version
1.4.2
License
GPL (>= 2)
Maintainer
Thomas Alexander Gerds
Last Published
January 14th, 2014
Functions in prodlim (1.4.2)
Search functions
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.