MaciejDanko/pclm: Penalized Composite Linear Models (PCLMs)

The PCLM method is based on the composite link model, with a penalty added to ensure the smoothness of the target distribution. Estimates are obtained by maximizing a penalized likelihood. This maximization is performed efficiently by a version of the iteratively reweighted least-squares algorithm. Optimal values of the smoothing parameter are chosen by minimizing Bayesian or Akaike’ s Information Criterion [From Rizzi et al. 2015 abstract].

Getting started

Package details

AuthorMaciej J. Danko <> <>, Marius Pascariu <>, Silvia Rizzi <>,
MaintainerMarius Pascariu <>, Maciej J. Danko <> <>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
MaciejDanko/pclm documentation built on May 3, 2019, 3:36 p.m.