Package: OPSR 0.1.2
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>.
Authors:
OPSR_0.1.2.tar.gz
OPSR_0.1.2.tar.gz(r-4.5-noble)OPSR_0.1.2.tar.gz(r-4.4-noble)
OPSR_0.1.2.tgz(r-4.4-emscripten)OPSR_0.1.2.tgz(r-4.3-emscripten)
OPSR.pdf |OPSR.html✨
OPSR/json (API)
NEWS
# Install 'OPSR' in R: |
install.packages('OPSR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dheimgartner/opsr/issues
- telework_data - Telework data
Last updated 1 months agofrom:ebad19448e. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 03 2024 |
R-4.5-linux-x86_64 | OK | Dec 03 2024 |
Exports:loglik_cppopsropsr_2stepopsr_check_ompopsr_check_startopsr_max_threadsopsr_null_modelopsr_prepare_coefsopsr_simulateopsr.fit
Dependencies:abindaskpassbackportsbootbroomcarcarDataclicolorspacecowplotcpp11curlDerivdigestdoBydplyrfansifarverFormulagenericsggplot2gluegtablehttrisobandjsonlitelabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmaxLikmgcvmicrobenchmarkmimeminqamiscToolsmodelrmunsellmvtnormnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackrlangsandwichscalesSparseMstringistringrsurvivalsystexregtibbletidyrtidyselectutf8vctrsviridisLitewithrzoo