# Endogenous Switching and Sample Selection Regression Models

## Documentation for package ‘switchSelection’ version 1.1.2

- DESCRIPTION file.

## Help Pages

boot | Bootstrap covariance matrix for least squares estimates of linear regression
coef.mnprobit | Coefficients extraction method for mnprobit.
coef.mvoprobit | Coefficients extraction method for mvoprobit.
cps | A subset of data from Current Population Survey (CPS).
delta_method | Delta method for mvoprobit and mnprobit functions
fitted.mnprobit | Extract Model Fitted Values
fitted.mvoprobit | Extract Model Fitted Values
formula.mnprobit | Formulas of mnprobit model.
formula.mvoprobit | Formulas of mvoprobit model.
formula_merge | Merge formulas
formula_split | Split formula by symbol
grad_mnprobit | Gradient of the Log-likelihood Function of Multinomial Probit Model
grad_mvoprobit | Gradient of the Log-likelihood Function of Multivariate Ordered Probit Model
lnL_mnprobit | Log-likelihood Function of Multinomial Probit Model
lnL_mvoprobit | Log-likelihood Function of Multivariate Ordered Probit Model
logLik.mnprobit | Extract Log-Likelihood from a Fit of the mnprobit Function.
logLik.mvoprobit | Extract Log-Likelihood from a Fit of the mvoprobit Function.
loocv | Leave-one-out cross-validation
lrtest | Likelihood ratio test
mnprobit | Multinomial probit model
mvoprobit | Multivariate ordered probit model with heteroscedasticity and (non-random) sample selection.
nobs.mnprobit | Extract the Number of Observations from a Fit of the mnprobit Function.
nobs.mvoprobit | Extract the Number of Observations from a Fit of the mvoprobit Function.
predict.mnprobit | Predict method for mnprobit function
predict.mvoprobit | Predict method for mvoprobit function
print.lrtest | Print Method for Likelihood Ratio Test
print.mnprobit | Print for an Object of Class mnprobit
print.mvoprobit | Print for an Object of Class mvoprobit
print.summary.delta_method | Print summary for an Object of Class delta_method
print.summary.lrtest | Print Summary Method for Likelihood Ratio Test
print.summary.mnprobit | Print summary for an Object of Class mnprobit
print.summary.mvoprobit | Print summary for an Object of Class mvoprobit
sigma.mnprobit | Extract Residual Standard Deviation 'Sigma'
sigma.mvoprobit | Extract Residual Standard Deviation 'Sigma'
starsVector | Stars for p-values
summary.delta_method | Summary for an Object of Class delta_method
summary.lrtest | Summary Method for Likelihood Ratio Test
summary.mnprobit | Summary for an Object of Class mnprobit
summary.mvoprobit | Summary for an Object of Class mvoprobit
vcov.mnprobit | Calculate Variance-Covariance Matrix for a mnprobit Object.
vcov.mvoprobit | Calculate Variance-Covariance Matrix for a mvoprobit Object.