weighted_stats

Computes the weighted mean, median and quantiles of a distribution.

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

weighted_stats function

<dl><dt>x</dt>
<dd>numeric vector of size n with the observations.</dd>
<dt>w</dt>
<dd>numeric vector of size n with non-negative weights. Note that this
vector needs to have the same length as the <code>x</code> vector.</dd>
<dt>prob</dt>
<dd>numeric vector of probabilities with values in <code>[0,1]</code>.</dd></dl>

Arguments

Compute weighted point estimates — weighted_stats

<dl>

<dt>x</dt>
<dd>numeric vector of size n with the observations.</dd>


<dt>w</dt>
<dd>numeric vector of size n with non-negative weights. Note that this
vector needs to have the same length as the <code>x</code> vector.</dd>


<dt>prob</dt>
<dd>numeric vector of probabilities with values in <code>[0,1]</code>.</dd>

</dl>

weighted_stats: Compute weighted point estimates

Description

Usage

Value

Arguments

Details