ordinate_probit: Probit Ordination

In andyhoegh/UncertainOrd: Accounts for Uncertainty in Model-Based Unconstrained Ordination

Description

Fits latent factor model to binary data with probit link

Usage

ordinate_probit(num.mcmc, Y, burn.in = 100)

Arguments

num.mcmc	- number of mcmc iterations
Y	- an n X p matrix of presence data
burn.in	- number of burn in samples, default is 100

Value

alpha.samples

beta.samples

theta.samples

z.samples

Examples

set.seed(08052019)
Y <- rbinom(100,1,.5)
Y.matrix <- matrix(Y, 10, 10)
ordinate_probit(1000, Y.matrix)

andyhoegh/UncertainOrd documentation built on Aug. 9, 2019, 4:33 p.m.