Reduce list to a matrix or data.frame with names as new columns
Compute jackknife pseudo values.
Background and grid color control.
Data set with a clustered data structure, for testing the product limit
method.
Percentage-labeled axis.
Strip special functions from terms
Function to facilitate the control of arguments passed to subroutines.
Simulate competing risks data
Quantiles for Kaplan-Meier and Aalen-Johansen estimates.
Plotting a competing-risk-model.
Predicting event probabilities from product limit estimates
Marking product-limit plots at the censored times.
Plotting event probabilities over time
Predict individual survival probabilities
Drawing numbers of subjects at-risk of experiencing an event below
Kaplan-Meier and Aalen-Johansen plots.
Competing risks model for simulation
States of a multi-state model
Extract a column from an event history object.
Nearest neighborhoods for kernel smoothing
Dim a given color to a specified density
Simulate survival data
Extract a design matrix and specials from a model.frame
Create an event history response variable
Survival model for simulation
Plotting an illness-death-model.
Event history frame
Index for evaluation of step functions.
Helper function to obtain running means for prodlim objects.
Identifying rows in a matrix or data.frame
Print objects in the prodlim library
Summary method for prodlim objects.
Summary of event histories
Parse special terms
Calculation of Efron's re-distribution to the right algorithm to obtain the
Kaplan-Meier estimate.
Stop the time of an event history object
Box-arrow diagrams for multi-state models.
Compute jackknife pseudo values.
Add point-wise confidence limits to the graphs of Kaplan-Meier and
Aalen-Johansen estimates of survival and cumulative incidence.
Functions for estimating probabilities from right censored data