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 09 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:20), 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

attachment  
Deal with Dependencies
Manage dependencies during package development. This can retrieve all dependencies that are used in ...
Download / Learn more Package Citations See dependency  
adea  
Alternate DEA Package
The meaning of adea is "alternate DEA". This package is devoted to provide the alternative method of ...
Download / Learn more Package Citations See dependency  
CenBAR  
Broken Adaptive Ridge AFT Model with Censored Data
Broken adaptive ridge estimator for censored data is used to select variables and estimate their co ...
Download / Learn more Package Citations See dependency  
febr  
Data Repository of the Brazilian Soil
Utilities to access and process data from the Data Repository of the Brazilian Soil ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
FixedPoint  
Algorithms for Finding Fixed Point Vectors of Functions
For functions that take and return vectors (or scalars), this package provides 8 algorithms for find ...
Download / Learn more Package Citations See dependency  

28,480

R Packages

239,283

Dependencies

75,476

Author Associations

28,481

Publication Badges

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