R: Semi-Parametric Estimators of Truncated Regression Models

# Semi-Parametric Estimators of Truncated Regression Models

## Documentation for package ‘truncSP’ version 1.2.4

- DESCRIPTION file
- Package NEWS

## Help Pages

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"'