spduration {spduration} | R Documentation |
Split-Population Duration (Cure) Regression Models
Description
The spduration package provides functions to estimate split-population duration regression models in which only a subset of the population is at risk for failure, while the remainder is immune, or cured, from the possibility of experiencing a failure event. In practice, this class of models also may produce better performance in sparse data with few actual failure events.
Details
The main function spdur
is used to estimate the model
objects with class spdur
.
Postestimation tools include predict.spdur
, for calculating
fitted values with arbitrary data and for several probabilities that
might be of interest, as well as plot.spdur
for visual
display of model fit.
Author(s)
Maintainer: Andreas Beger adbeger@gmail.com (ORCID)
Authors:
Daina Chiba dchiba@essex.ac.uk (ORCID)
Daniel W. Hill, Jr. dwhill@uga.edu
Nils W. Metternich n.metternich@ucl.ac.uk (ORCID)
Shahryar Minhas hermes829@gmail.com
Michael D. Ward michael.don.ward@gmail.com (ORCID) [copyright holder]
References
Boag, J.W. 1949. “Maximum Likelihood Estimates of the Proportion of Patients Cured by Cancer Therapy.” <https://www.jstor.org/stable/2983694>
Berkson, J. and Gage, R.P. “Survival Curve for Cancer Patients Following Treatment.” <https://www.jstor.org/stable/2281318>
Leisch, Friedrich. 2009. “Creating R Packages: A Tutorial.”
Schmidt, Peter and Witte, Ann Dryden. 1989. “Predicting Criminal Recidivism Using "Split Population" Survival Time Models.” <doi:10.1016/0304-4076(89)90034-1>
Svolik, Milan. 2008. “Authoritarian Reversals and Democratic Consolidation.” American Political Science Review.
See Also
Useful links:
Report bugs at https://github.com/andybega/spduration/issues