FlexBayes
Flexible Bayesian Inference

Package index
Search the FlexBayes package
Functions
42
Source code
17
Man pages
5
Home
/
R-Forge
/
FlexBayes
/
blm.sampler: Specify the Sampler for a Bayesian Linear Model

blm.sampler: Specify the Sampler for a Bayesian Linear Model
In FlexBayes: Flexible Bayesian Inference

Description Usage Arguments

View source: R/blm.sampler.R

Description

Specify the Sampler for a Bayesian Linear Model

Usage

1
2
3
blm.sampler(nBurnin = 1000, nSamples = 1000, nThin = 1, nChains = 1,
            start = c("both", "prior", "likelihood", "user"),
            coefs = NULL, sigma = NULL)

Arguments

nBurnin

nBurnin

nSamples

nSamples

nThin

nThin

nChains

nChains

start

start

coefs

coefs

sigma

sigma


FlexBayes documentation built on May 2, 2019, 5:53 p.m.

Related to blm.sampler in FlexBayes...

FlexBayes index

R Package Documentation

rdrr.io home R language documentation Run R code online

Browse R Packages

CRAN packages Bioconductor packages R-Forge packages GitHub packages

We want your feedback!

Note that we can't provide technical support on individual packages. You should contact the package authors for that.
GitHub issue tracker
ian@mutexlabs.com
Personal blog

 
Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.

Close