imput_clv: Imputation of a data matrix based on CLV results

In ClustVarLV: Clustering of Variables Around Latent Variables

Imputation of a data matrix based on CLV results

Description

For each variable, its missing data will be imputed according to the values of the latent variable of the group in which the variable belong to.

Usage

imput_clv(x, X0, K = NULL)

Arguments

x	: an object of class clv
X0	: the initial data matrix with missing values (NA)
K	: the number of Latent Variables to be considered, each of them being associated with a group of variables.

Details

It is adviced to use a larger number of latent variables, on the basis of which the imputation will be done, than the suspected 'true' number of groups of variables

Value

X0imput : the imputed data matrix, in the original scale

Ximput : the imputed matrix, centered and scaled according to the pretratment parameters chosen in CLV

ClustVarLV documentation built on May 28, 2022, 5:05 p.m.