Title: Analyzing Right-Censored Length-Biased Data
Author: Lee, C.H., Liu, D.D., Ning, J., Zhou, H., and Shen, Y.
Maintainer: Diane D. Liu <DianeLiu@MDAnderson.Org>
Description: Performs analysis of right-censored length-biased data using Cox model. It contains model fitting and checking, and the stationarity assumption test. The model fitting and checking methods are described in Qin and Shen (2010) <doi:10.1111/j.1541-0420.2009.01287.x> and Lee, Ning, and Shen (2018) <doi:10.1007/s10985-018-9422-y>.

Maintainer: Chi Hyun Lee <chihyunlee@umass.edu>

Title: Cox Regression (Proportional Hazards Model) with Multiple Causes
Description: A high performance package estimating Proportional Hazards Model when an even can have more than one causes, including support for random and fixed effects, tied events, and time-varying variables.

Description: A high performance package estimating Cox Model when an even have more than one causes, which also supports random and fixed effects, tied events, and time-varying variables.

Description: A high performance package estimating Cox Model when an even has more than one causes. It also supports random and fixed effects, tied events, and time-varying variables.

Title: R-Squared Measure Based on Partial LR Statistic, for the Cox PH
Description: Calculate the R-squared, aka explained randomness, based on the partial likelihood ratio statistic under the Cox Proportional Hazard model [J O'Quigley, R Xu, J Stare (2005) <doi:10.1002/sim.1946>].

Title: Cox models with dynamic ridge penalties
Description: A package for fitting Cox models with penalized ridge-type
partial likelihood. The package includes functions for fitting
simple Cox models with all covariates controlled by a ridge
penalty. The weight of the penalty is optimised by using a REML
type-algorithm. Models with time varying effects of the
covariates can also be fitted. Some of the covariates may be
allowed to be fixed and thus not controlled by the penalty.
There are three different penalty functions, ridge, dynamic and
weighted dynamic. Time varying effects can be fitted without