nsamples.hsstan

nsamples

Extracts the number of posterior samples stored in a fitted model.

Linear and logistic regression models penalized with hierarchical
shrinkage priors for selection of biomarkers (or more general variable
selection), which can be fitted using Stan (Carpenter et al. (2017)
<doi:10.18637/jss.v076.i01>). It implements the horseshoe and regularized
horseshoe priors (Piironen and Vehtari (2017) <doi:10.1214/17-EJS1337SI>),
as well as the projection predictive selection approach to recover a sparse
set of predictive biomarkers (Piironen, Paasiniemi and Vehtari (2020)
<doi:10.1214/20-EJS1711>).

Marco Colombo

hsstan

Hierarchical Shrinkage Stan Models for Biomarker Selection

Paul McKeigue

Athina Spiliopoulou

nsamples.hsstan function

<dl><dt>object</dt>
<dd>An object of class <code>hsstan</code>.</dd>
<dt>...</dt>
<dd>Currently ignored.</dd></dl>

Arguments

Number of posterior samples — nsamples.hsstan

<dl>

<dt>object</dt>
<dd>An object of class <code>hsstan</code>.</dd>


<dt>...</dt>
<dd>Currently ignored.</dd>

</dl>

nsamples.hsstan: Number of posterior samples

Description

Usage

Value

Arguments

Examples