Estimates ordered probit switching regression models - a Heckman type selection model with an ordinal selection and continuous outcomes. Different model specifications are allowed for each treatment/regime. For more details on the method, see Wang & Mokhtarian (2024) <doi:10.1016/j.tra.2024.104072> or Chiburis & Lokshin (2007) <doi:10.1177/1536867X0700700202>.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | car,Formula, graphics,MASS,maxLik, methods,mvtnorm,Rcpp,Rdpack (≥ 0.7),sandwich, stats,texreg, utils |
| LinkingTo: | Rcpp,RcppArmadillo |
| Suggests: | gridExtra,gridGraphics,sampleSelection,scales,testthat (≥ 3.0.0) |
| Published: | 2025-07-28 |
| DOI: | 10.32614/CRAN.package.OPSR |
| Author: | Daniel Heimgartner [aut, cre, cph], Xinyi Wang [aut] |
| Maintainer: | Daniel Heimgartner <d.heimgartners at gmail.com> |
| BugReports: | https://github.com/dheimgartner/OPSR/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/dheimgartner/OPSR |
| NeedsCompilation: | yes |
| Citation: | OPSR citation info |
| Materials: | README,NEWS |
| CRAN checks: | OPSR results |