Fitting Semi-Parametric log-Symmetric Regression Models

Set of tools to fit a semi-parametric regression model suitable for analysis of data sets in which the response variable is continuous, strictly positive, asymmetric and possibly, censored. Under this setup, both the median and the skewness of the response variable distribution are explicitly modeled by using semi-parametric functions, whose non-parametric components may be approximated by natural cubic splines or P-splines. Supported distributions for the model error include log-normal, log-Student-t, log-power-exponential, log-hyperbolic, log-contaminated-normal, log-slash, Birnbaum-Saunders and Birnbaum-Saunders-t distributions.


Reference manual

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1.5.7 by Luis Hernando Vanegas, 5 years ago

Browse source code at

Authors: Luis Hernando Vanegas <[email protected]> and Gilberto A. Paula

Documentation:   PDF Manual  

GPL-2 | GPL-3 license

Imports stats, grDevices, sandwich, graphics, methods, utils

Depends on GIGrvg, numDeriv, normalp, Formula, survival

Suggests NISTnls, gam, sn, MASS

Imported by PartCensReg.

Suggested by BayesGESM.

See at CRAN