estimNC {missRows} | R Documentation |
estimNC
estimates the number of MFA components for
data imputation. This function is called internally
by MIMFA
and is not usually called
directly by a user.
estimNC(X, minNC=0, maxNC)
X |
a numeric matrix. |
minNC |
minimum number of components to consider, by default 0. |
maxNC |
maximum number of components to test. |
Partially borrowed from the estim_npc
function in the FactoMineR package, estimNC
estimates
the number of MFA components for data imputation using the
generalized cross-validation approximation method.
Return the number of MFA components to use in data imputation.
Josse, J. and Husson, F. (2012). Selecting the number of components in PCA using cross-validation approximations. Computational Statistics and Data Analysis, 56, 1869-1879.