sdv_MM | R Documentation |
This function estimates the vector μ, matrix A and matrix B using coordinate descendent MM algorithm.
sdv_MM( x, k = 2, iterations = 1000, truncated = TRUE, random = FALSE, epsilon = 1e-04 )
x |
binary matrix. |
k |
dimensions number. By default |
iterations |
maximum iterations. |
truncated |
if TRUE, find the k largest singular values and vectors of a matrix. |
random |
random initialization |
epsilon |
convergence criteria |
Coordenates of the matrix A and B, and μ
Giovany Babativa <gbabativam@gmail.com>
Babativa-Marquez, J. G., & Vicente-Villardon, J. L. (2021). Logistic Biplot by Conjugate Gradient Algorithms and Iterated SVD. Mathematics, 9(16).
Vicente-Villardon, J.L. and Galindo, M. Purificacion (2006), Multiple Correspondence Analysis and related Methods. Chapter: Logistic Biplots. Chapman-Hall
cv_LogBip
data("Methylation") out <- sdv_MM(x = Methylation)
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