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.