ordinate_ordinal: Ordinal Ordination

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

Description

Fits latent factor model to ordinal data with cumulative probit sampling model

Usage

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

Arguments

num.mcmc	- number of mcmc iterations
Y	- an n X p matrix of ordinal 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 <- matrix(base::sample(1:5, 50, replace = TRUE), 10, 5)
ordinate_ordinal(1000, Y)

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