An implementation of split-population duration regression models. Unlike regular duration models, split-population duration models are mixture models that accommodate the presence of a sub-population that is not at risk for failure, e.g. cancer patients who have been cured by treatment. This package implements Weibull and Loglogistic forms for the duration component, and focuses on data with time-varying covariates. These models were originally formulated in Boag (1949) and Berkson and Gage (1952) , and extended in Schmidt and Witte (1989) .

Documentation

Manual: spduration.pdf
Vignette: Introduction to spduration

Maintainer: Andreas Beger <adbeger at gmail.com>

Author(s): Andreas Beger*, Daina Chiba*, Daniel W. Hill, Jr.*, Nils W. Metternich*, Shahryar Minhas*, Michael D. Ward*

Install package and any missing dependencies by running this line in your R console:

install.packages("spduration")

Depends R (>= 3.1.2)
Imports corpcor, graphics, forecast, plyr, MASS, stats, Rcpp(>=0.11.0), separationplot, xtable
Suggests covr, devtools, testthat, knitr, rmarkdown
Enhances
Linking to Rcpp, RcppArmadillo
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Package spduration
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Version 0.17.0
Published 2017-10-04
License GPL-3
BugReports https://github.com/andybega/spduration/issues
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks spduration check results
Package source spduration_0.17.0.tar.gz