Other packages > Find by keyword >

geommc  

Geometric Markov Chain Sampling
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("geommc", "1.3.2")



Attach the package and use:
library("geommc")
Maintained by
Vivekananda Roy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-06-17
Latest Update: 2024-10-18
Description:
Simulates from discrete and continuous target distributions using geometric Metropolis-Hastings (MH) algorithms. Users specify the target distribution by an R function that evaluates the log un-normalized pdf or pmf. The package also contains a function implementing a specific geometric MH algorithm for performing high dimensional Bayesian variable selection.
How to cite:
Vivekananda Roy (2024). geommc: Geometric Markov Chain Sampling. R package version 1.3.2, https://cran.r-project.org/web/packages/geommc. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:42), 0.0.0 (2024-06-17 18:10), 0.0.1 (2024-06-27 07:20), 0.1.1 (2024-10-18 21:30), 1.3.1 (2026-02-27 19:30)
Other packages that cited geommc R package
View geommc citation profile
Other R packages that geommc depends, imports, suggests or enhances
Complete documentation for geommc
Functions, R codes and Examples using the geommc R package
Full geommc package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

visdat  
Preliminary Visualisation of Data
Create preliminary exploratory data visualisations of an entire dataset to identify problems or une ...
Download / Learn more Package Citations See dependency  
funprog  
Functional Programming
High-order functions for data manipulation : sort or group data, given one or more auxiliary func ...
Download / Learn more Package Citations See dependency  
extlasso  
Maximum Penalized Likelihood Estimation with Extended Lasso Penalty
Estimates coefficients of extended LASSO penalized linear regression and generalized linear models. ...
Download / Learn more Package Citations See dependency  
OOBCurve  
Out of Bag Learning Curve
Provides functions to calculate the out-of-bag learning curve for random forests for any measure tha ...
Download / Learn more Package Citations See dependency  
r3PG  
Simulating Forest Growth using the 3-PG Model
Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-P ...
Download / Learn more Package Citations See dependency  
RcmdrPlugin.depthTools  
R Commander Depth Tools Plug-in
We provide an Rcmdr plug-in based on the depthTools package, which implements different robust stat ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

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