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: | 1.0.0 |
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: | 2025-07-07 |
DOI: | 10.32614/CRAN.package.OPSR |
Author: | Daniel Heimgartner
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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 |
Reference manual: | OPSR.pdf |
Vignettes: |
OPSR: A Package for Estimating Ordered Probit Switching Regression Models in R (source, R code) |
Package source: | OPSR_1.0.0.tar.gz |
Windows binaries: | r-devel: OPSR_1.0.0.zip, r-release: OPSR_1.0.0.zip, r-oldrel: OPSR_1.0.0.zip |
macOS binaries: | r-release (arm64): OPSR_1.0.0.tgz, r-oldrel (arm64): OPSR_1.0.0.tgz, r-release (x86_64): OPSR_1.0.0.tgz, r-oldrel (x86_64): OPSR_1.0.0.tgz |
Old sources: | OPSR archive |
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