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metropolis  

The Metropolis Algorithm
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]
All associated links for this package
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 22 Dec. 2024.
Previous versions and publish date:
0.1.5 (2020-01-23 18:30)
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