simBin: Multivariate binary data

In jgbabativam/BiplotML: Biplots Estimation with Algorithms ML

Multivariate binary data

Description

Simulate a binary data matrix based on a latent variables model

Usage

simBin(n, p, k, D, C = 1)

Arguments

n	number of rows
p	number of columns
k	number of underlying dimensions in the model
D	sparsity control
C	variance control

Value

X: binary matrix, P: predicted matrix, Theta: matrix of natural parameters, A: row markers, B: column markers, mu: offset term, D: sparsity level, n: number of rows, p: number of columns

Author(s)

Giovany Babativa <[e-mail]>

See Also

cv_LogBip

Examples

x <- simBin(n = 100, p = 50, k = 3, D = 0.5)

jgbabativam/BiplotML documentation built on July 31, 2022, 11:10 a.m.