Learn R Programming

survivalMPL (version 0.2-4)

Penalised Maximum Likelihood for Survival Analysis Models

Description

Estimate the regression coefficients and the baseline hazard of proportional hazard Cox models with left, right or interval censored survival data using maximum penalised likelihood. A 'non-parametric' smooth estimate of the baseline hazard function is provided.

Copy Link

Version

Install

install.packages('survivalMPL')

Monthly Downloads

260

Version

0.2-4

License

LGPL (>= 2)

Maintainer

Dominique-Laurent Couturier

Last Published

March 24th, 2025

Functions in survivalMPL (0.2-4)

plot.coxph_mpl

Plot a coxph_mpl Object
coef.coxph_mpl

Extract coefficients of a coxph_mpl Object or of its summary
bcos2

Breast Cosmesis Data
coxph_mpl

Fit Cox Proportional Hazards Regression Model Via MPL
summary.coxph_mpl

Summarise a coxph_mpl Object
predict.coxph_mpl

Predictions for a Cox model
coxph_mpl.object

MPL Proportional Hazards Regression Object
residuals.coxph_mpl

Residuals for a Cox model
coxph_mpl.control

Ancillary arguments for controling coxph_mpl fits
survivalMPL-package

Penalised Maximum Likelihood for Survival Analysis Models