.- help for ^eprobit^ (STB-32: sg54) .- Extended probit regression -------------------------- ^eprobit^ varlist [weight] [^if^ exp] [^in^ range] [ ^,^ ^g^roup ^lt(^#^)^ ^it(^#^)^ ^eform^ ^o^ffset^(^offsetvar^)^ ^nol^og ^nocons^tant ^expec(^#^)^ ^res^idual ] ^group^ specify as a grouped model, otherwise denominator=1 ^lt(#)^ tolerance for convergence ^it(#)^ number of iterations ^eform^ results in exponential form (odds ratio) ^offset(offsetvar)^ offset variable ^nolog^ no display of iteration log ^noconstant^ noconstant model ^expec(#)^ number of iterations using Fisher scoring (default=2) ^residual^ creates the following variables: _mu (fit) _lp (linear predictor) _Pear (Pearson residual) _Dev (deviance residual) _Ancom (Anscombe residual) _Hat (hat matrix diagonal) _SPear (standardized Pearson) _SDev (standardized deviance) Author ------ Joe Hilbe Arizona State University atjmh@@asuvm.inre.asu.edu