logL.joint.multi.OUOU.user: Log-likelihoods for evolutionary models
In klvoje/evoTS: Analyses of Evolutionary Time-Series

logL.joint.multi.OUOU.user

R Documentation

Log-likelihoods for evolutionary models

Description

Returns log-likelihood for a multivariate Ornstein-Uhlenbeck model with used defined A and R matrices..

Usage

logL.joint.multi.OUOU.user(
  init.par,
  yy,
  A.user,
  R.user,
  locations.A,
  location.diag.A,
  location.upper.tri.A,
  location.lower.tri.A,
  locations.R,
  location.diag.R,
  location.upper.tri.R
)

Arguments

`init.par`	initial (starting) parameters values
`yy`	a multivariate evoTS object
`A.user`	the pull matrix.
`R.user`	the drift matrix.
`locations.A`	location (row and column) of parameters (elements) in the A matrix that is estimated
`location.diag.A`	location (row and column) of parameters (elements) in the diagonal of the A matrix that is estimated
`location.upper.tri.A`	location (row and column) of parameters (elements) in the upper triangle of the A matrix that is estimated
`location.lower.tri.A`	location (row and column) of parameters (elements) in the lower triangle of the A matrix that is estimated
`locations.R`	location (row and column) of parameters (elements) in the R matrix that is estimated
`location.diag.R`	location (row and column) of parameters (elements) in the diagonal of the R matrix that is estimated
`location.upper.tri.R`	location (row and column) of parameters (elements) in the upper triangle of the R matrix that is estimated

Details

In general, users will not be access these functions directly, but instead use the optimization functions, which use these functions to find the best-supported parameter values.