plspm
and plspm.fit
Check arguments for plspm
and plspm.fit
check_args(
Data,
path_matrix,
blocks,
scaling,
modes,
scheme,
scaled,
tol,
maxiter,
plscomp,
boot.val,
br,
dataset
)
numeric matrix or data frame containing the manifest variables.
square (lower triangular) boolean matrix for inner model.
List of vectors (either numeric or character) to specify the blocks of manifest variables asociated to the latent variables.
optional list of string vectors indicating the type of
measurement scale for each manifest variable specified in blocks
.
character indicating the type of measurement.
string indicating the type of inner weighting scheme.
logical indicating whether scaling data is performed.
decimal value indicating the tol criterion for covergence.
integer indicating the maximum number of iterations.
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)
whether bootstrap validation is performed.
integer indicating the number bootstrap resamples.
whether the data matrix should be retrieved.
list of validated arguments
Internal function. check_args
is called by plspm
.