Package: OPSR 1.0.1.9001

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_1.0.1.9001.tar.gz
OPSR_1.0.1.9001.zip(r-4.7)OPSR_1.0.1.9001.zip(r-4.6)OPSR_1.0.1.9001.zip(r-4.5)
OPSR_1.0.1.9001.tgz(r-4.6-x86_64)OPSR_1.0.1.9001.tgz(r-4.6-arm64)OPSR_1.0.1.9001.tgz(r-4.5-x86_64)OPSR_1.0.1.9001.tgz(r-4.5-arm64)
OPSR_1.0.1.9001.tar.gz(r-4.7-arm64)OPSR_1.0.1.9001.tar.gz(r-4.7-x86_64)OPSR_1.0.1.9001.tar.gz(r-4.6-arm64)OPSR_1.0.1.9001.tar.gz(r-4.6-x86_64)
OPSR_1.0.1.9001.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
OPSR/json (API)

# Install 'OPSR' in R:

install.packages('OPSR', repos = c('https://dheimgartner.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:

telework_data - Telework Data
timeuse_data - TimeUse+ Data

On CRAN:

openblas cpp openmp

4.40 score 5 scripts 259 downloads 16 exports 82 dependencies

Last updated from:a39dff3e31. Checks:11 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	WARNING	305
linux-devel-x86_64	WARNING	269
source / vignettes	OK	402
linux-release-arm64	WARNING	258
linux-release-x86_64	WARNING	269
macos-release-arm64	WARNING	131
macos-release-x86_64	WARNING	272
macos-oldrel-arm64	WARNING	121
macos-oldrel-x86_64	WARNING	343
windows-devel	WARNING	253
windows-release	WARNING	232
windows-oldrel	WARNING	233
wasm-release	OK	173

Exports:loglik_cpp opsr opsr_2step opsr_check_omp opsr_check_start opsr_diagnostics opsr_lr_instrument opsr_max_threads opsr_null_model opsr_prepare_coefs opsr_profile_rho opsr_simulate opsr_step opsr_te opsr_test_exclusion_restriction opsr.fit

Dependencies:abind askpass backports boot broom car carData cli colorspace cowplot cpp11 curl Deriv digest doBy dplyr farver forecast Formula fracdiff generics ggplot2 glue gtable httr isoband jsonlite labeling lattice lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels maxLik mgcv microbenchmark mime minqa miscTools modelr mvtnorm nlme nloptr nnet numDeriv openssl pbkrtest pillar pkgconfig purrr quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang S7 sandwich scales SparseM stringi stringr survival sys texreg tibble tidyr tidyselect timeDate urca utf8 vctrs viridisLite withr zoo

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

Introduction | Model and software | Illustrations | Case study | Summary and discussion

Rendered fromopsr.Rnwusingutils::Sweave

Last update: 2025-08-27
Started: 2024-10-01

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
OPSR: Ordered Probit Switching Regression	OPSR-package OPSR
ANOVA for OPSR Model Fits	anova.opsr
Extract Method for OPSR Model Fits	extract,opsr-method extract.opsr
Interface to C++ Log-Likelihood Implementation	loglik_cpp
Extracting the Model Frame from OPSR Model Fits	model.frame.opsr
Construct Design Matrices for OPSR Model Fits	model.matrix.opsr
Fitting Ordered Probit Switching Regression Models	opsr
Heckman Two-Step Estimation	opsr_2step
Check Whether 'OpenMP' is Available	opsr_check_omp
Check the User-Specified Starting Values	opsr_check_start
Convergence Diagnostics for OPSR Models	opsr_diagnostics
LR Test for Instrument Exclusion from Selection Equation	opsr_lr_instrument
Check Maximum Number of Threads Available	opsr_max_threads
Null Model for OPSR Model fits	opsr_null_model
Prepares Coefficients for Likelihood Function	opsr_prepare_coefs
Profile Likelihood for the Rho Parameters	opsr_profile_rho
Simulate Data from an OPSR Process	opsr_simulate
Step Function for OPSR Model Fits	opsr_step
Treatment Effect Computations for OPSR Model Fits	opsr_te
Test Exclusion Restriction in OPSR Models	opsr_test_exclusion_restriction
Fitter Function for Ordered Probit Switching Regression Models	opsr.fit
Pairs Plot for OPSR TE Objects	pairs.opsr.te
Plot Method for OPSR Model Fits	plot.opsr
Plot Profile Likelihood for Rho	plot.opsr.profile.rho
Predict Method for OPSR Model Fits	predict.opsr
Print Method for ANOVA OPSR Objects	print.anova.opsr
Print Method for ATE Objects	print.ate
Print Method for OPSR Convergence Diagnostics	print.opsr.diagnostics
Print Method for Exclusion Restriction Test	print.opsr.exclusion.test
Print Method for Profile Likelihood of Rho	print.opsr.profile.rho
Print Method for OPSR ATE Objects	print.opsr.te
Print Method for Summary OPSR Objects	print.summary.opsr
Print Method for Summary OPSR TE Objects	print.summary.opsr.te
Print Method for TE Objects	print.te
Summarizing OPSR Model Fits	summary.opsr
Summarizing OPSR TE Objects	summary.opsr.te
Telework Data	telework_data
TimeUse+ Data	timeuse_data