The R Journal: article published in 2017, volume 9:2

Splitting It Up: The spduration Split-Population Duration Regression Package for Time-Varying Covariates
Andreas Beger, Daniel W. Hill, Jr., Nils. W. Metternich, Shahryar Minhas and Michael D. Ward , The R Journal (2017) 9:2, pages 474-486.

Abstract We present an implementation of split-population duration regression in the spduration (Beger et al., 2017) package for R that allows for time-varying covariates. The statistical model accounts for units that are immune to a certain outcome and are not part of the duration process the researcher is primarily interested in. We provide insights for when immune units exist, that can significantly increase the predictive performance compared to standard duration models. The package includes estimation and several post-estimation methods for split-population Weibull and log-logistic models. We provide an empirical application to data on military coups.

Received: 2017-07-12; online 2017-11-05
CRAN packages: spduration, survival, smcure
CRAN Task Views implied by cited CRAN packages: Survival, ClinicalTrials, Econometrics, SocialSciences

This article is licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2017-056,
  author = {Andreas Beger and Daniel W. Hill and Jr. and Nils. W.
          Metternich and Shahryar Minhas and Michael D. Ward},
  title = {{Splitting It Up: The spduration Split-Population Duration
          Regression Package for Time-Varying Covariates}},
  year = {2017},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2017-056},
  url = {https://doi.org/10.32614/RJ-2017-056},
  pages = {474--486},
  volume = {9},
  number = {2}
}