compute_variance_covariance.OU.nonsym

<code>compute_variance_covariance.OU</code> computes the (n+m)*p squared variance
covariance matrix of vec(X).

internal

Implementation of the automatic shift detection method for
Brownian Motion (BM) or Ornstein–Uhlenbeck (OU) models of trait evolution on
phylogenies. Some tools to handle equivalent shifts configurations are also
available. See Bastide et al. (2017) <doi:10.1111/rssb.12206> and
Bastide et al. (2018) <doi:10.1093/sysbio/syy005>.

Paul Bastide

PhylogeneticEM

Automatic Shift Detection using a Phylogenetic EM

Mahendra Mariadassou

compute_variance_covariance.OU.nonsym function

<dl><dt>times_shared</dt>
<dd>times of shared ancestry of all nodes and tips, result 
of function <code>compute_times_ca</code></dd>
<dt>params_old</dt>
<dd>(list) : old parameters to be used in the E step</dd></dl>

Arguments

Complete variance covariance matrix for OU — compute_variance_covariance.OU.nonsym

<dl>

<dt>times_shared</dt>
<dd>times of shared ancestry of all nodes and tips, result 
of function <code>compute_times_ca</code></dd>


<dt>params_old</dt>
<dd>(list) : old parameters to be used in the E step</dd>

</dl>

compute_variance_covariance.OU.nonsym: Complete variance covariance matrix for OU

Description

Usage

Value

Arguments