errorABC

This function calculates the prediction error between estimates obtained
after a leave-one-out cross validation for ABC and the true parameter values.

internal

Provides functions to simulate Pool-seq data under models of
demographic formation and to import Pool-seq data from real populations.
Implements two ABC algorithms for performing parameter estimation and
model selection using Pool-seq data. Cross-validation can also be
performed to assess the accuracy of ABC estimates and model choice.
Carvalho et al., (2022) <doi:10.1111/1755-0998.13834>.

João Carvalho

poolABC

Approximate Bayesian Computation with Pooled Sequencing Data

Vítor Sousa

errorABC function

<dl><dt>true</dt>
<dd>is a matrix where each row corresponds to the true parameter
values of a given simulation and each column to a different parameter.
These parameters where used as the pseudo-observed targets in the
simulation study.</dd>
<dt>estimated</dt>
<dd>is a matrix with the estimated parameter values. Each row
corresponds to the estimate of the true parameter values present in the
corresponding row of the <code>true</code> matrix. And each column should correspond
to a different parameter.</dd></dl>

Arguments

Calculate cross-validation prediction error of parameter estimation — errorABC

<dl>

<dt>true</dt>
<dd>is a matrix where each row corresponds to the true parameter
values of a given simulation and each column to a different parameter.
These parameters where used as the pseudo-observed targets in the
simulation study.</dd>


<dt>estimated</dt>
<dd>is a matrix with the estimated parameter values. Each row
corresponds to the estimate of the true parameter values present in the
corresponding row of the <code>true</code> matrix. And each column should correspond
to a different parameter.</dd>

</dl>

errorABC: Calculate cross-validation prediction error of parameter estimation

Description

Usage

Value

Arguments

Details