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.

Fitting Semi-Parametric log-Symmetric Regression Models

package-ubuntu-20.04-r-4.0.5#cran#ssym-1.5.7

<p><b>itpEC2</b> performs the iterative process to fit models under the presence of right-censored samples, wher the error distribution can be obtained as a power mixture
of the log-normal distribution.</p>

package-ubuntu-20.04-r-4.0.5#cran#ssym-1.5.7#docs#itpEC2

itpEC2

Description

ssym

We don't support your browser anymore