buildauxmetadata

Builds an augmented metadata <a href="/link/data%20frame?package=prova&version=1.0.0" data-mini-rdoc="prova::data frame">data frame</a> from the metadata and data given to 'learn()'. This augmented metadata object is saved in the 'learnt' object produced by 'learn()'.

internal

Calculate posterior joint and conditional probabilities, probability distributions of population frequencies, and information-theoretic measures, by means of Bayesian nonparametric methods. Data imputation is automatic and done in a principled way. Markov-chain Monte Carlo calculations are automatically handled and do not require user supervision. Applications range from statistical estimation and probabilistic hypothesis testing to evidence-based inference and decision making, in a wide range of disciplines from astrophysics to medicine. For more details and examples see for instance Porta Mana et al. (2026) <doi:10.31219/osf.io/8nr56>, Dunson & Bhattacharya (2011) <doi:10.1093/acprof:oso/9780199694587.003.0005>, Lindley & Novick (1981) <doi:10.1214/aos/1176345331>, Bernardo & Smith (2000) <doi:10.1002/9780470316870>, Müller et al. (2015) <doi:10.1007/978-3-319-18968-0>. Requires the packages 'Nimble', 'parallel', 'extraDistr'.

PierGianLuca Porta Mana

prova

Nonparametric Probabilistic-Statistical Variate Analysis with
Automated Markov-Chain Monte Carlo

Aurora Grefsrud

Håkon Mydland

Maksim Ohvrill

Simen Hesthamar Hauge

buildauxmetadata function

<dl><dt>data</dt>
<dd>data.frame object</dd>
<dt>metadata</dt>
<dd>data.frame object</dd>
<dt>Dthreshold</dt>
<dd>Positive number: threshold of fraction
of unique datapoints to total datapoints, to decide
whether to treat a rounded variate as continuous</dd>
<dt>tscalefactor</dt>
<dd>Positive number: scaling factor for variate conversion</dd></dl>

Arguments

Builds an augmented metadata <a href='https://rdrr.io/r/base/data.frame.html'>data frame</a> from the metadata and data given to 'learn()'. This augmented metadata object is saved in the 'learnt' object produced by 'learn()'.

Build augmented metadata file — buildauxmetadata

<dl>

<dt>data</dt>
<dd>data.frame object</dd>


<dt>metadata</dt>
<dd>data.frame object</dd>


<dt>Dthreshold</dt>
<dd>Positive number: threshold of fraction
of unique datapoints to total datapoints, to decide
whether to treat a rounded variate as continuous</dd>


<dt>tscalefactor</dt>
<dd>Positive number: scaling factor for variate conversion</dd>

</dl>

buildauxmetadata: Build augmented metadata file

Description

Usage

Value

Arguments

Details