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.
Package details |
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Maintainer | |
License | MIT + file LICENSE |
Version | 0.0.0.9000 |
URL | https://github.com/phit0/frequentistkiller |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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