rglinv: Simulate random trait values from models.
In glinvci: Phylogenetic Comparative Methods with Uncertainty Estimates

rglinv

R Documentation

Simulate random trait values from models.

Description

Simulate random trait values from the Gaussian branching process specified by mod.

Usage

rglinv(mod, par, Nsamp, simplify)

## S3 method for class 'glinv'
rglinv(mod, par, Nsamp = 1, simplify = TRUE)

## S3 method for class 'glinv_gauss'
rglinv(mod, par, Nsamp = 1, simplify = TRUE)

Arguments

`mod`	Either a `glinv_gauss` or `glinv` object.
`par`	Parameters underlying the simulation, in the same format as `lik.glinv_gauss` or `lik.glinv`.
`Nsamp`	Number of sample point to simulate.
`simplify`	If TRUE, `rglinv.glinv` returns an Nsamp-element list with each element being a tip-trait matrix; otherwise, `rglinv.glinv` returns an Nsamp-element list with each element being an `n`-element list of `k`-element trait vectors, where `n` is the number of tips and `k` is the dimension of each trait vector.

Value

A list containing Nsamp elements, each of which represents a sample point from the model mod. The format of each elements depends on the simplify argument.

glinvci documentation built on May 29, 2024, 9:49 a.m.