BIC.snapclust

Do not use. We work on that stuff. Contact us if interested.

Toolset for the exploration of genetic and genomic
data. Adegenet provides formal (S4) classes for storing and handling
various genetic data, including genetic markers with varying ploidy
and hierarchical population structure ('genind' class), alleles counts
by populations ('genpop'), and genome-wide SNP data ('genlight'). It
also implements original multivariate methods (DAPC, sPCA), graphics,
statistical tests, simulation tools, distance and similarity measures,
and several spatial methods. A range of both empirical and simulated
datasets is also provided to illustrate various methods.

Zhian N. Kamvar

adegenet

Exploratory Analysis of Genetic and Genomic Data

Thibaut Jombart

Caitlin Collins

Roman Lustrik

Marie-Pauline Beugin

Brian J. Knaus

Peter Solymos

Vladimir Mikryukov

Klaus Schliep

Tiago Maié

Libor Morkovsky

Ismail Ahmed

Anne Cori

Federico Calboli

RJ Ewing

Frédéric Michaud

Rebecca DeCamp

Alexandre Courtiol

Lindsay V. Clark

Pavel Dimens

BIC.snapclust function

<dl><dt>object</dt>
<dd>An object returned by the function <code>snapclust</code>.</dd>
<dt>...</dt>
<dd>Further arguments for compatibility with the <code>BIC</code> generic
(currently not used).</dd></dl>

Arguments

Thibaut Jombart <a href="/link/thibautjombart%40gmail.com?package=adegenet&version=2.1.10" data-mini-rdoc="adegenet::thibautjombart@gmail.com">thibautjombart@gmail.com</a>

Author

Compute Bayesian Information Criterion (BIC) for snapclust — BIC.snapclust

<dl>

<dt>object</dt>
<dd>An object returned by the function <code>snapclust</code>.</dd>


<dt>...</dt>
<dd>Further arguments for compatibility with the <code>BIC</code> generic
(currently not used).</dd>

</dl>

Thibaut Jombart <a href='mailto:thibautjombart@gmail.com'>thibautjombart@gmail.com</a>

Compute Bayesian Information Criterion (BIC) for snapclust

BIC.snapclust: Compute Bayesian Information Criterion (BIC) for snapclust

Description

Usage

Arguments

Author

See Also