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OPSR: Ordinal Probit Switching Regression
Estimates ordinal 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: |
0.1.2 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
car, Formula, MASS, maxLik, methods, mvtnorm, Rcpp, Rdpack (≥
0.7), sandwich, stats, texreg, utils |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2024-11-01 |
| 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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=OPSR
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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