Other packages > Find by keyword >

adaptMCMC  

Implementation of a Generic Adaptive Monte Carlo Markov Chain Sampler
View on CRAN: Click here


Download and install adaptMCMC package within the R console
Install from CRAN:
install.packages("adaptMCMC")

Install from Github:
library("remotes")
install_github("cran/adaptMCMC")

Install by package version:
library("remotes")
install_version("adaptMCMC", "1.5")



Attach the package and use:
library("adaptMCMC")
Maintained by
Andreas Scheidegger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-12-09
Latest Update: 2024-01-29
Description:
Enables sampling from arbitrary distributions if the log density is known up to a constant; a common situation in the context of Bayesian inference. The implemented sampling algorithm was proposed by Vihola (2012) and achieves often a high efficiency by tuning the proposal distributions to a user defined acceptance rate.
How to cite:
Andreas Scheidegger (2011). adaptMCMC: Implementation of a Generic Adaptive Monte Carlo Markov Chain Sampler. R package version 1.5, https://cran.r-project.org/web/packages/adaptMCMC. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:16), 1.0.2 (2012-01-03 17:16), 1.0.3 (2012-05-16 13:49), 1.0 (2011-12-09 16:56), 1.1 (2012-06-22 11:34), 1.2 (2017-07-01 00:19), 1.3 (2018-01-14 17:41), 1.4 (2021-03-29 11:00)
Other packages that cited adaptMCMC R package
View adaptMCMC citation profile
Other R packages that adaptMCMC depends, imports, suggests or enhances
Complete documentation for adaptMCMC
Functions, R codes and Examples using the adaptMCMC R package
Some associated functions: MCMC.add.samples . MCMC . MCMC.parallel . convert.to.coda . genericMCMC-package . 
Some associated R codes: Adaptive_MCMC.R .  Full adaptMCMC package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  
GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA