Package: metropolis
Title: The Metropolis Algorithm
Version: 0.1.8
Date: 2020-09-21
Authors@R: 
    person(given = "Alexander",
           family = "Keil",
           role = c("aut", "cre"),
           email = "akeil@unc.edu")
Author: Alexander Keil [aut, cre]
Maintainer: Alexander Keil <akeil@unc.edu>
Description: Learning and using the Metropolis algorithm for
    Bayesian fitting of a generalized linear model. The package vignette
    includes examples of hand-coding a logistic model using several
    variants of the Metropolis algorithm. The package also contains R
    functions for simulating posterior distributions of Bayesian
    generalized linear model parameters using guided, adaptive,
    guided-adaptive and random walk Metropolis algorithms. The random walk
    Metropolis algorithm was originally described in Metropolis et al
    (1953); <doi:10.1063/1.1699114>.
License: GPL (>= 2)
Depends: coda, R (>= 3.5.0)
Imports: stats
Suggests: knitr, markdown
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-09-21 20:23:34 UTC; akeil
Repository: CRAN
Date/Publication: 2020-09-21 21:20:07 UTC
Built: R 4.6.0; ; 2026-04-26 22:00:47 UTC; unix
