Add to ORKGDescription Generation of survival data with one (binary) time-dependent covariate. Generation of survival data arising from a progressive illness-death model
Depends R (> = 2.7.2), leaps, survival Description The package performs estimation and testing of...
Description The Causata package provides utilities for extracting data from the Causata application,...
We discuss a flexible method for modeling survival data using penalized smoothing splines when the v...
Title A package for survival time prediction based on a piecewise baseline hazard Cox regression mod...
Suggests survivalROC, survival Description Simulation of continuous, correlated high-dimensional dat...
Depends R (> = 2.2.1), gamlss, survival Description This is an add on package to GAMLSS. It allow...
Description Functions for simulating and plotting cancer progression data, including drivers and pas...
Description Flexible parametric models for time-to-event data, including the Royston-Parmar spline m...
Description Maximally selected rank statistics with several p-value approximations
Description This package fits multiple variable mixtures of various parametric proportional haz-ard ...
Description Improved predictive models by indirect classification and bagging for classification, re...
Suggests survival Description The functions in this package are especially helpful when writing repo...
Depends R (> = 2.7.2), leaps, survival Description The package performs estimation and testing of...
Description The Causata package provides utilities for extracting data from the Causata application,...
We discuss a flexible method for modeling survival data using penalized smoothing splines when the v...
Title A package for survival time prediction based on a piecewise baseline hazard Cox regression mod...
Suggests survivalROC, survival Description Simulation of continuous, correlated high-dimensional dat...
Depends R (> = 2.2.1), gamlss, survival Description This is an add on package to GAMLSS. It allow...
Description Functions for simulating and plotting cancer progression data, including drivers and pas...
Description Flexible parametric models for time-to-event data, including the Royston-Parmar spline m...
Description Maximally selected rank statistics with several p-value approximations
Description This package fits multiple variable mixtures of various parametric proportional haz-ard ...
Description Improved predictive models by indirect classification and bagging for classification, re...
Suggests survival Description The functions in this package are especially helpful when writing repo...
Depends R (> = 2.7.2), leaps, survival Description The package performs estimation and testing of...
Description The Causata package provides utilities for extracting data from the Causata application,...
We discuss a flexible method for modeling survival data using penalized smoothing splines when the v...