phit0/frequentistkiller: Metropolis-Hastings algorithm using IWLS for selected generalized linear models

Frequentistkiller is a package that allows to fit a multivariate generalized linear model for Bernoulli (link = logit), Normal and Poisson (link = log) distributed response variables, including prior asumptions about the regression parameter. Parameters are sampled from a normal proposal density constructed via IWLS during the iterations of a Metropolis-Hastings algorithm and returned as a chain of close-to independent parameters. Their distribution converges to the true posterior distribution of the parameters for infinite iterations.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version0.0.0.9000
URL https://github.com/phit0/frequentistkiller
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("phit0/frequentistkiller")
phit0/frequentistkiller documentation built on Sept. 24, 2019, 9:46 a.m.