PCMParamRandomVecParams

integer denoting the number of traits.

integer denoting the number of regimes.

an integer specifying the number of random vectors to generate

named lists of
arguments passed to
<code>PCMParamLowerLimit</code> and <code>PCMParamUpperLimit</code>.

argsPCMParamLowerLimit, argsPCMParamUpperLimit

Generate a random parameter vector for a model using uniform distribution
between its lower and upper bounds.

Phylogenetic comparative methods represent models of continuous trait
data associated with the tips of a phylogenetic tree. Examples of such models
are Gaussian continuous time branching stochastic processes such as Brownian
motion (BM) and Ornstein-Uhlenbeck (OU) processes, which regard the data at the
tips of the tree as an observed (final) state of a Markov process starting from
an initial state at the root and evolving along the branches of the tree. The
PCMBase R package provides a general framework for manipulating such models.
This framework consists of an application programming interface for specifying
data and model parameters, and efficient algorithms for simulating trait evolution
under a model and calculating the likelihood of model parameters for an assumed
model and trait data. The package implements a growing collection of models,
which currently includes BM, OU, BM/OU with jumps, two-speed OU as well as mixed
Gaussian models, in which different types of the above models can be associated
with different branches of the tree. The PCMBase package is limited to
trait-simulation and likelihood calculation of (mixed) Gaussian phylogenetic
models. The PCMFit package provides functionality for ML and Bayesian fit of
these models to tree and trait data. The package web-site
<https://venelin.github.io/PCMBase/>
provides access to the documentation and other resources.

Venelin Mitov

PCMParamRandomVecParams: Generate a random parameter vector for a model using uniform distribution between its lower and upper bounds.

Description

Usage

Arguments

Value

See Also