simBin | R Documentation |
Simulate a binary data matrix based on a latent variables model
simBin(n, p, k, D, C = 1)
n |
number of rows |
p |
number of columns |
k |
number of underlying dimensions in the model |
D |
sparsity control |
C |
variance control |
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
Giovany Babativa <gbabativam@gmail.com>
cv_LogBip
x <- simBin(n = 100, p = 50, k = 3, D = 0.5)
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