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