ssym: 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.

Package details

AuthorLuis Hernando Vanegas <[email protected]> and Gilberto A. Paula
MaintainerLuis Hernando Vanegas <[email protected]>
LicenseGPL-2 | GPL-3
Version1.5.7
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ssym")

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ssym documentation built on May 1, 2019, 8:20 p.m.