| truncSP-package | Estimators of semi-parametric truncated regression models |
| bootconfint | Function to obtain bootstrap confidence intervals (percentile) |
| coef.lt | Function to extract model coefficients for objects of class '"lt"' |
| coef.qme | Function to extract model coefficients for objects of class '"qme"' |
| coef.stls | Function to extract model coefficients for objects of class '"stls"' |
| covar.boot | Function to obtain bootstrap covariance matrix |
| fitted.lt | Function to obtain fitted values from objects of class '"lt"' |
| fitted.qme | Function to obtain fitted values from objects of class '"qme"' |
| fitted.stls | Function to obtain fitted values from objects of class '"stls"' |
| funcLT | Function to be used by boot to obtain bootstrap replicates of the parameters estimated with QME |
| funcQME | Function to be used by boot to obtain bootstrap replicates of the parameters estimated with QME |
| funcSTLS | Function to be used by boot to obtain bootstrap replicates of the parameters estimated with STLS |
| funcval.LT | LT objective function |
| funcval.QME | QME objective function |
| funcval.STLS | STLS objective function |
| lt | Estimation of truncated regression models using the Left Truncated (LT) estimator |
| lt-class | An S4 class for objects from the 'lt' function |
| lt.fit | Function for fitting LT |
| mlcoef | Gives the starting coefficients from fitting a maximum likelihood model for truncated regression, assuming Gaussian errors |
| PM10 | Air pollution data |
| PM10trunc | Air pollution data (Truncated) |
| print.lt | Print function for objects of class '"lt"' |
| print.qme | Print function for objects of class '"qme"' |
| print.stls | Print function for objects of class '"stls"' |
| print.summary.lt | Print function for objects of class '"summary.lt"' |
| print.summary.qme | Print function for objects of class '"summary.qme"' |
| print.summary.stls | Print function for objects of class '"summary.stls"' |
| qme | Estimation of truncated regression models using the Quadratic Mode Estimator (QME) |
| qme-class | An S4 class for objects from the 'qme' function |
| qme.fit | Function for fitting QME |
| residuals.lt | Function to extract model residuals from objects of class '"lt"' |
| residuals.qme | Function to extract model residuals from objects of class '"stls"' |
| residuals.stls | Function to extract model residuals from objects of class '"stls"' |
| stls | Estimation of truncated regression models using the Symmetrically Trimmed Least Squares (STLS) estimator |
| stls-class | An S4 class for objects from the 'stls' function |
| stls.fit | Function for fitting STLS |
| summary.lt | Summary function for objects of class '"lt"' |
| summary.lt-class | An S4 class for objects from the 'summary.lt' function |
| summary.qme | Summary function for objects of class '"qme"' |
| summary.qme-class | An S4 class for objects from the 'summary.qme' function |
| summary.stls | Summary function for objects of class '"stls"' |
| summary.stls-class | An S4 class for objects from the 'summary.stls' function |
| truncSP | Estimators of semi-parametric truncated regression models |
| vcov.lt | Function to obtain the variance-covariance matrix for objects of class '"lt"' |
| vcov.qme | Function to obtain the variance-covariance matrix for objects of class '"qme"' |
| vcov.stls | Function to obtain the variance-covariance matrix for objects of class '"stls"' |