The R Journal: accepted article

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Splitting It Up: The spduration Split-Population Duration Regression Package for Time-varying Covariates PDF download
Andreas Beger, Daniel W. Hill, Jr., Nils. W. Metternich, Shahryar Minhas and Michael D. Ward

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 not part of the duration process the researcher is primarily interested in. We provide insights that if immune units exist, we 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 Loglogistic models. We provide an empirical application to data on military coups.

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


CC BY 4.0
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}},
  url = {https://journal.r-project.org/archive/2017/RJ-2017-056/index.html}
}