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