correctThin

Checks if thin is consistent with nTotalSamples samples and if not corrects it.

internal

General-purpose MCMC and SMC samplers, as well as plot and
diagnostic functions for Bayesian statistics, with a particular focus on
calibrating complex system models. Implemented samplers include various
Metropolis MCMC variants (including adaptive and/or delayed rejection MH), the
T-walk, two differential evolution MCMCs, two DREAM MCMCs, and a sequential
Monte Carlo (SMC) particle filter.

Florian Hartig

BayesianTools

General-Purpose MCMC and SMC Samplers and Tools for Bayesian
Statistics

Francesco Minunno

Stefan  Paul

David Cameron

Tankred Ott

Maximilian Pichler

correctThin function

<dl><dt>nTotalSamples</dt>
<dd>total number of rows/samples</dd>
<dt>thin</dt>
<dd>thinning</dd>
<dt>autoThinFraction</dt>
<dd>fraction of the data that will be sampled when thin is set to "auto". E.g. 0.5 means thin will be nTotalSamples * 0.5. The resulting thin value is rounded down to the next integer.</dd></dl>

Arguments

Author

Checks if thin is consistent with nTotalSamples samples and if not corrects it. — correctThin

<dl>

<dt>nTotalSamples</dt>
<dd>total number of rows/samples</dd>


<dt>thin</dt>
<dd>thinning</dd>


<dt>autoThinFraction</dt>
<dd>fraction of the data that will be sampled when thin is set to "auto". E.g. 0.5 means thin will be nTotalSamples * 0.5. The resulting thin value is rounded down to the next integer.</dd>

</dl>

correctThin: Checks if thin is consistent with nTotalSamples samples and if not corrects it.

Description

Usage

Arguments

Author

Details