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