Fit a list of models to a dataset.
fit_many(
model_list,
sem_out,
original = NULL,
parallel = FALSE,
ncores = max(parallel::detectCores(logical = FALSE) - 1, 1),
make_cluster_args = list(),
progress = TRUE,
verbose = TRUE
)An object of the class
sem_outs, a list with the
following major elements:
fit: A named list of
lavaan::lavaan() output objects or
update() for fitting a model with
the added parameters.
change: A numeric vector, of the
same length as fit. The change
in model df for each fit compared
to the original model. A
positive number denotes one less
free parameter. A negative number
denotes one more free parameter or
one less constraint.
converged: A named vector of
boolean values, of the same length
as fit. Indicates whether each
fit converged or not.
post_check: A named vector of
boolean values, of the same length
as fit. Indicates whether the
solution of each fit is
admissible or not. Checked by
lavaan::lavInspect() with
the what argument set to
"post.check".
A list of parameter
tables to be used by
lavaan::lavaan() or update().
Usually generated by get_add() or
get_drop().
The output from an
structural equation modeling
function. It currently supports
lavaan::lavaan objects
only. Usually
the one used in model_set(),
get_add() or
get_drop() to generate the list of
models.
String. If provided,
it should be a name of a model
in model_list, with which
differences in model degrees of
freedom will be computed for other
models. If NULL, the default,
then the model in sem_out will
be used to computed the differences
in model degrees of freedom. If NA,
then differences in model df will
not be computed.
If TRUE, parallel
processing will be used to fit the
models. Default is FALSE.
Numeric. The number of
CPU cores to be used if parallel
is TRUE.
A list of
named arguments to be passed to
parallel::makeCluster(). Used by
advanced users to configure the
cluster if parallel is TRUE.
Default is list().
Whether a progress
bar will be displayed, implemented
by the pbapply package. Default
is TRUE.
Whether additional
messages will be displayed, such
as the expected processing time.
Default is TRUE.
Shu Fai Cheung https://orcid.org/0000-0002-9871-9448
It receives a list of
models, defined by lavaan parameter
tables (usually generated by
model_set(), get_add() or
get_drop()),
and fit them to a dataset stored
in a lavaan-class object.
This function is called by
model_set() and usually users do
not need to call it. It is exported
for advanced users.
library(lavaan)
dat <- dat_path_model
mod <-
"
x3 ~ a*x1 + b*x2
x4 ~ a*x1
ab := a*b
"
fit <- sem(mod, dat_path_model, fixed.x = TRUE)
mod_to_add <- get_add(fit)
fit_many(mod_to_add, fit)
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