Fitting Semi-Parametric Generalized log-Gamma Regression Models

Set of tools to fit a linear multiple or semi-parametric regression models with the possibility of non-informative random right-censoring. Under this setup, the localization parameter of the response variable distribution is modeled by using linear multiple regression or semi-parametric functions, whose non-parametric components may be approximated by natural cubic spline or P-splines. The supported distribution for the model error is a generalized log-gamma distribution which includes the generalized extreme value and standard normal distributions as important special cases. Also, some numerical and graphical devices for diagnostic of the fitted models are offered.


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0.2.0 by Carlos Alberto Cardozo Delgado, 2 months ago

Browse source code at

Authors: Carlos Alberto Cardozo Delgado <[email protected]> and G. Paula and L. Vanegas

Documentation:   PDF Manual  

GPL-3 license

Imports Formula, survival, methods, graphics, stats, AdequacyModel, ggplot2, moments, gridExtra, pracma, progress, Rcpp, plot3D, TeachingSampling

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See at CRAN