transform_factor_samples

Transforms posterior samples from model-averaged posterior
distributions based on meandif/orthonormal prior distributions into differences from
the mean.

Provides tools for conducting Bayesian analyses and Bayesian model averaging
(Kass and Raftery, 1995, <doi:10.1080/01621459.1995.10476572>,
Hoeting et al., 1999, <doi:10.1214/ss/1009212519>). The package contains
functions for creating a wide range of prior distribution objects, mixing posterior
samples from 'JAGS' and 'Stan' models, plotting posterior distributions, and etc...
The tools for working with prior distribution span from visualization, generating 'JAGS'
and 'bridgesampling' syntax to basic functions such as rng, quantile, and distribution functions.

Franti<c5><a1>ek Barto<c5><a1>

BayesTools

Tools for Bayesian Analyses

František Bartoš

transform_factor_samples function

<dl><dt>samples</dt>
<dd>(a list) of mixed posterior distributions created with
<code>mix_posteriors</code> function</dd></dl>

Arguments

Transform factor posterior samples into differences from the mean — transform_factor_samples

<dl>

<dt>samples</dt>
<dd>(a list) of mixed posterior distributions created with
<code>mix_posteriors</code> function</dd>

</dl>

transform_factor_samples: Transform factor posterior samples into differences from the mean

Description

Usage

Value

Arguments

See Also