faInit: Generate initial parameters for EM/FA

In aciobanusebi/s2fa: Factor Analysis (FA), Simple Supervised FA (S2FA), Simple Semi-Supervised FA (S3FA), Missing S3FA (MS3FA)

Description

Generate initial parameters for EM/FA

Usage

faInit(X_t_unsupervised, nDimZ, type = "fa", checkArgs = TRUE)

Arguments

X_t_unsupervised	train input data as design matrix (must be matrix, not data.frame), i.e. row = instance, column = feature/attribute
nDimZ	how many latent factors to consider
type	"unconstrained", "fa", or "ppca"; refers to psi
checkArgs	whether to check the arguments are valid; it takes more time to execute

Value

initial parameters for EM/FA, i.e. a list containing nDimX, nDimZ, type, mu_t, lambda_t, psi_t. "_t" comes from "transpose"

Examples

params <- faInit(X_t_unsupervised = house[,-1,drop=FALSE],
                 nDimZ=1,
                 type = "fa",checkArgs = TRUE)
params

aciobanusebi/s2fa documentation built on Aug. 7, 2021, 6:38 a.m.