logLik.ssym

<b>logLik.ssym</b> extracts the value of log-likelihood function avaliated at observed data and parameter estimates from an object of class ``"ssym".

This package allows to fit a regression model suitable for data analysis in which the conditional distribution of the response is symmetric continuous and where its location and dispersion parameters are explicitly modelled through semi-parametric functions, whose non-parametric components are approximated by natural cubic splines or P-splines.  Supported distributions for the model error include normal, Student-t, power exponential, symmetric hyperbolic, contaminated normal, slash, sinh-normal and sinh-t distributions.

logLik.ssym: logLik.ssym

Description

Arguments