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survivalMPL (version 0.2)

Penalised Maximum Likelihood for Survival Analysis Models

Description

Estimate the regression coefficients and the baseline hazard of proportional hazard Cox models using maximum penalised likelihood. A 'non-parametric' smooth estimate of the baseline hazard function is provided.

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Version

Install

install.packages('survivalMPL')

Monthly Downloads

260

Version

0.2

License

LGPL (>= 2)

Maintainer

Maurizio Manuguerra

Last Published

December 11th, 2017

Functions in survivalMPL (0.2)

predict.coxph_mpl

Predictions for a Cox model
survivalMPL-package

Penalised Maximum Likelihood for Survival Analysis Models
coxph_mpl.object

MPL Proportional Hazards Regression Object
coef.coxph_mpl

Extract coefficients of a coxph_mpl Object or of its summary
coxph_mpl

Fit Cox Proportional Hazards Regression Model Via MPL
residuals.coxph_mpl

Residuals for a Cox model
summary.coxph_mpl

Summarise a coxph_mpl Object
coxph_mpl.control

Ancillary arguments for controling coxph_mpl fits
plot.coxph_mpl

Plot a coxph_mpl Object