splinek

values of the explanatory variable <em>t</em>.

<b>splinek</b> is used to build the incidence matrix, the penalty matrix as well as other interest matrices to approximate functions by natural cubic splines.

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.

splinek: Tool to approximate functions by natural cubic splines

Description

Usage

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References