mlfm: Semiparametric multilevel frailty models, estimated via EMPL method
Version 1.2.4

The package fits proportional hazard models with K>0 random effects. Inference is based on the EM-PPL algorithm proposed by Horny (2009), Inference in mixed proportional hazard models with K random effects, Stat Papers 50:481--499.

Getting started

Package details

AuthorFederico Rotolo and Guillaume Horny
Date of publication2013-06-19 18:13:39
MaintainerFederico Rotolo <[email protected]>
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("mlfm", repos="")

Try the mlfm package in your browser

Any scripts or data that you put into this service are public.

mlfm documentation built on May 31, 2017, 1:32 a.m.