Package: OPSR 1.0.1

Daniel Heimgartner

OPSR: Ordered Probit Switching Regression

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>.

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

OPSR_1.0.1.tar.gz
OPSR_1.0.1.tar.gz(r-4.7-arm64)OPSR_1.0.1.tar.gz(r-4.7-x86_64)OPSR_1.0.1.tar.gz(r-4.6-arm64)OPSR_1.0.1.tar.gz(r-4.6-x86_64)
OPSR_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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

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

On CRAN:

Conda:

openblascppopenmp

3.00 score 4 scripts 177 downloads 12 exports 82 dependencies

Last updated from:8e2d95a296. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK183
linux-devel-x86_64OK188
source / vignettesOK463
linux-release-arm64OK274
linux-release-x86_64OK165
wasm-releaseOK204

Exports:loglik_cppopsropsr_2stepopsr_check_ompopsr_check_startopsr_max_threadsopsr_null_modelopsr_prepare_coefsopsr_simulateopsr_stepopsr_teopsr.fit

Dependencies:abindaskpassbackportsbootbroomcarcarDataclicolorspacecowplotcpp11curlDerivdigestdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtablehttrisobandjsonlitelabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmaxLikmgcvmicrobenchmarkmimeminqamiscToolsmodelrmvtnormnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7sandwichscalesSparseMstringistringrsurvivalsystexregtibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo

OPSR: A Package for Estimating Ordered Probit Switching Regression Models in R

Rendered fromopsr.Rnwusingutils::Sweaveon Jun 10 2026.

Last update: 2025-07-28
Started: 2025-07-07

Readme and manuals

Help Manual

Help pageTopics
OPSR: Ordered Probit Switching RegressionOPSR-package OPSR
ANOVA for OPSR Model Fitsanova.opsr
Extract Method for OPSR Model Fitsextract,opsr-method extract.opsr
Interface to C++ Log-Likelihood Implementationloglik_cpp
Extracting the Model Frame from OPSR Model Fitsmodel.frame.opsr
Construct Design Matrices for OPSR Model Fitsmodel.matrix.opsr
Fitting Ordered Probit Switching Regression Modelsopsr
Heckman Two-Step Estimationopsr_2step
Check Whether 'OpenMP' is Availableopsr_check_omp
Check the User-Specified Starting Valuesopsr_check_start
Check Maximum Number of Threads Availableopsr_max_threads
Null Model for OPSR Model fitsopsr_null_model
Prepares Coefficients for Likelihood Functionopsr_prepare_coefs
Simulate Data from an OPSR Processopsr_simulate
Step Function for OPSR Model Fitsopsr_step
Treatment Effect Computations for OPSR Model Fitsopsr_te
Fitter Function for Ordered Probit Switching Regression Modelsopsr.fit
Pairs Plot for OPSR TE Objectspairs.opsr.te
Plot Method for OPSR Model Fitsplot.opsr
Predict Method for OPSR Model Fitspredict.opsr
Print Method for ANOVA OPSR Objectsprint.anova.opsr
Print Method for ATE Objectsprint.ate
Print Method for OPSR ATE Objectsprint.opsr.te
Print Method for Summary OPSR Objectsprint.summary.opsr
Print Method for Summary OPSR TE Objectsprint.summary.opsr.te
Print Method for TE Objectsprint.te
Summarizing OPSR Model Fitssummary.opsr
Summarizing OPSR TE Objectssummary.opsr.te
Telework Datatelework_data
TimeUse+ Datatimeuse_data