Man pages for OPSR
Ordinal Probit Switching Regression
| anova.opsr | ANOVA for OPSR Model Fits |
| extract.opsr | Extract Method for OPSR Model Fits |
| loglik_cpp | Interface to C++ Log-Likelihood Implementation |
| loglik_R | R-based Log-Likelihood Implementation |
| model.frame.opsr | Extracting the Model Frame from OPSR Model Fits |
| model.matrix.opsr | Construct Design Matrices for OPSR Model Fits |
| opsr | Fitting Ordinal Probit Switching Regression Models |
| opsr_2step | Heckman Two-Step Estimation |
| opsr_check_omp | Check Whether 'OpenMP' is Available |
| opsr_check_start | Check the User-Specified Starting Values |
| opsr.fit | Fitter Function for Ordinal Probit Switching Regression... |
| opsr_max_threads | Check Maximum Number of Threads Available |
| opsr_null_model | Null Model for OPSR Model fits |
| OPSR-package | OPSR: Ordinal Probit Switching Regression |
| opsr_prepare_coefs | Prepares Coefficients for Likelihood Function |
| opsr_simulate | Simulate Data from an OPSR Process |
| predict.opsr | Predict Method for OPSR Model Fits |
| print.anova.opsr | Print Method for ANOVA OPSR Objects |
| print.summary.opsr | Print Method for Summary OPSR Objects |
| summary.opsr | Summarizing OPSR Model Fits |
| telework_data | Telework data |
