check_args: Check arguments for 'plspm' and 'plspm.fit'

In plspm: Partial Least Squares Path Modeling (PLS-PM)

Check arguments for plspm and plspm.fit

Description

Internal function not to be called by the user

Usage

  check_args(Data, path_matrix, blocks, scaling, modes,
    scheme, scaled, tol, maxiter, plscomp, boot.val, br,
    dataset)

Arguments

Data	numeric matrix or data frame containing the manifest variables.
path_matrix	square (lower triangular) boolean matrix for inner model.
blocks	List of vectors (either numeric or character) to specify the blocks of manifest variables asociated to the latent variables.
scaling	optional list of string vectors indicating the type of measurement scale for each manifest variable specified in blocks.
modes	character indicating the type of measurement.
scheme	string indicating the type of inner weighting scheme.
scaled	logical indicating whether scaling data is performed.
tol	decimal value indicating the tol criterion for covergence.
maxiter	integer indicating the maximum number of iterations.
plscomp	optional vector indicating the number of PLS components (for each block) to be used when handling non-metric data (only used if scaling is provided)
boot.val	whether bootstrap validation is performed.
br	integer indicating the number bootstrap resamples.
dataset	whether the data matrix should be retrieved.

Details

Internal function. check_args is called by plspm.

Value

list of validated arguments

Warning

Do NOT use this function unless you are ME, a package developer, or a jedi user who really knows what is doing (seriously!)

plspm documentation built on June 22, 2024, 11:29 a.m.