Package: OPSR 0.1.2

Daniel Heimgartner

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:Daniel Heimgartner [aut, cre, cph], Xinyi Wang [aut]

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'))

Peer review:

Bug tracker:https://github.com/dheimgartner/opsr/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

1.70 score 2 downloads 10 exports 77 dependencies

Last updated 24 days agofrom:ebad19448e. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-linux-x86_64OKNov 03 2024

Exports:loglik_cppopsropsr_2stepopsr_check_ompopsr_check_startopsr_max_threadsopsr_null_modelopsr_prepare_coefsopsr_simulateopsr.fit

Dependencies:abindaskpassbackportsbootbroomcarcarDataclicolorspacecowplotcpp11curlDerivdigestdoBydplyrfansifarverFormulagenericsggplot2gluegtablehttrisobandjsonlitelabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmaxLikmgcvmicrobenchmarkmimeminqamiscToolsmodelrmunsellmvtnormnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackrlangsandwichscalesSparseMstringistringrsurvivalsystexregtibbletidyrtidyselectutf8vctrsviridisLitewithrzoo