rglinv {glinvci}

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.