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metropolis
View on CRAN: Click
here
Download and install metropolis package within the R console
Install from CRAN:
install.packages("metropolis")
Install from Github:
library("remotes")
install_github("cran/metropolis")
Install by package version:
library("remotes")
install_version("metropolis", "0.1.8")
Attach the package and use:
library("metropolis")
Maintained by
Alexander Keil
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.metropolis . metropolis results . metropolis.pdf . The metropolis algorithm for fitting Bayesian GLMs . metropolis_0.1.8.tar.gz . metropolis_0.1.8.zip . metropolis_0.1.8.zip . metropolis_0.1.8.zip . metropolis_0.1.8.tgz . metropolis_0.1.8.tgz . metropolis_0.1.8.tgz . metropolis_0.1.8.tgz . metropolis_0.1.8.tgz . metropolis_0.1.8.tgz . metropolis archive . https://CRAN.R-project.org/package=metropolis .
First Published: 2020-01-23
Latest Update: 2020-09-21
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); .
How to cite:
Alexander Keil (2020). metropolis: The Metropolis Algorithm. R package version 0.1.8, https://cran.r-project.org/web/packages/metropolis. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.5 (2020-01-23 18:30)
Other packages that cited metropolis R package
View metropolis citation profile
Other R packages that metropolis depends,
imports, suggests or enhances
Complete documentation for metropolis
Functions, R codes and Examples using
the metropolis R package
Some associated functions: as.mcmc.metropolis.samples . expit . logistic_ll . magfields . metropolis.control . metropolis_glm . normal_ll . plot.metropolis.samples . print.metropolis.samples . summary.metropolis.samples .
Some associated R codes: base.R . conversions.R . data.R . loglikelihoods.R . transformations.R . Full metropolis package functions and examples
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