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Splitting It Up: The spduration Split-Population Duration Regression Package for Time-Varying Covariates

Beger, A; Hill, DW; Metternich, NW; Minhas, S; Ward, MD; (2017) Splitting It Up: The spduration Split-Population Duration Regression Package for Time-Varying Covariates. The R Journal , 9 (2) pp. 474-486. Green open access

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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-populationWeibull and log-logistic models. We provide an empirical application to data on military coups.

Type: Article
Title: Splitting It Up: The spduration Split-Population Duration Regression Package for Time-Varying Covariates
Open access status: An open access version is available from UCL Discovery
Publisher version: https://journal.r-project.org/archive/2017-2/
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Political Science
URI: https://discovery.ucl.ac.uk/id/eprint/10042422
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