Package: OPSR
Title: Ordinal Probit Switching Regression
Version: 0.1.2
Authors@R: c(person("Daniel", "Heimgartner", email = "d.heimgartners@gmail.com", role = c("aut", "cre", "cph"),
    comment = c(ORCID = "0000-0002-0643-8690")),
    person("Xinyi", "Wang", email = "xinyi174@mit.edu", role = c("aut"), comment = c(ORCID = "0000-0002-3564-9147")))
Description: 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>.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: car, Formula, MASS, maxLik, methods, mvtnorm, Rcpp, Rdpack (>=
        0.7), sandwich, stats, texreg, utils
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.5.0)
LazyData: true
RdMacros: Rdpack
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
URL: https://github.com/dheimgartner/OPSR
BugReports: https://github.com/dheimgartner/OPSR/issues
NeedsCompilation: yes
Packaged: 2024-10-29 13:43:33 UTC; daniel
Author: Daniel Heimgartner [aut, cre, cph]
    (<https://orcid.org/0000-0002-0643-8690>),
  Xinyi Wang [aut] (<https://orcid.org/0000-0002-3564-9147>)
Maintainer: Daniel Heimgartner <d.heimgartners@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-01 14:30:23 UTC
Built: R 4.3.3; aarch64-apple-darwin20; 2024-11-01 15:57:05 UTC; unix
Archs: OPSR.so.dSYM
