Other packages > Find by keyword >

bayesdistreg  

Bayesian Distribution Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bayesdistreg", "0.1.0")



Attach the package and use:
library("bayesdistreg")
Maintained by
Emmanuel Tsyawo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-02-05
Latest Update: 2019-02-05
Description:
Implements Bayesian Distribution Regression methods. This package contains functions for three estimators (non-asymptotic, semi-asymptotic and asymptotic) and related routines for Bayesian Distribution Regression in Huang and Tsyawo (2018) which is also the recommended reference to cite for this package. The functions can be grouped into three (3) categories. The first computes the logit likelihood function and posterior densities under uniform and normal priors. The second contains Independence and Random Walk Metropolis-Hastings Markov Chain Monte Carlo (MCMC) algorithms as functions and the third category of functions are useful for semi-asymptotic and asymptotic Bayesian distribution regression inference.
How to cite:
Emmanuel Tsyawo (2019). bayesdistreg: Bayesian Distribution Regression. R package version 0.1.0, https://cran.r-project.org/web/packages/bayesdistreg. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1.0 (2019-02-05 23:44)
Other packages that cited bayesdistreg R package
View bayesdistreg citation profile
Other R packages that bayesdistreg depends, imports, suggests or enhances
Complete documentation for bayesdistreg
Functions, R codes and Examples using the bayesdistreg R package
Some associated functions: IndepMH . LogitLink . RWMH . asymcnfB . distreg.asymp . distreg . distreg.sas . distreg_cfa . distreg_cfa.sas . dr_asympar . fitdist . fitlogit . indicat . jdpar.asymp . jntCBOM . lapl_aprx . lapl_aprx2 . logit . parLply . par_distreg . posterior . prior_n . prior_u . quant_bdr . simcnfB . 
Some associated R codes: Functions.R . Metropolis_Hastings_Algorithms.R . Regression_Functions.R .  Full bayesdistreg package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

solitude  
An Implementation of Isolation Forest
Isolation forest is anomaly detection method introduced by the paper Isolation based Anomaly Detecti ...
Download / Learn more Package Citations See dependency  
lbfgs  
Limited-memory BFGS Optimization
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implem ...
Download / Learn more Package Citations See dependency  
openxlsx  
Read, Write and Edit xlsx Files
Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, stylin ...
Download / Learn more Package Citations See dependency  
EMVS  
The Expectation-Maximization Approach to Bayesian Variable Selection
An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization p ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
DatabionicSwarm  
Swarm Intelligence for Self-Organized Clustering
Algorithms implementing populations of agents that interact with one another and sense their environ ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

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