The functions listed below are deprecated and will be defunct
in the near future. When possible, alternative functions with similar
functionality are also mentioned. Help pages for deprecated functions are
available at help("semTools-deprecated").
efaUnrotate(data = NULL, nf, varList = NULL, start = TRUE, aux = NULL,
...)orthRotate(object, method = "varimax", ...)
oblqRotate(object, method = "quartimin", ...)
funRotate(object, fun, ...)
longInvariance(model, varList, auto = "all", constrainAuto = FALSE,
fixed.x = TRUE, std.lv = FALSE, group = NULL, group.equal = "",
group.partial = "", strict = FALSE, warn = TRUE, debug = FALSE,
quiet = FALSE, fit.measures = "default", baseline.model = NULL,
method = "satorra.bentler.2001", ...)
measurementInvariance(..., std.lv = FALSE, strict = FALSE, quiet = FALSE,
fit.measures = "default", baseline.model = NULL,
method = "satorra.bentler.2001")
measurementInvarianceCat(..., std.lv = FALSE, strict = FALSE,
quiet = FALSE, fit.measures = "default", baseline.model = NULL,
method = "default")
reliability(object, what = c("alpha", "omega", "omega2", "omega3", "ave"),
return.total = FALSE, dropSingle = TRUE, omit.factors = character(0),
omit.indicators = character(0), omit.imps = c("no.conv", "no.se"))
reliabilityL2(object, secondFactor, omit.imps = c("no.conv", "no.se"))
lavTestLRT.mi(object, h1 = NULL, test = c("D3", "D2"),
omit.imps = c("no.conv", "no.se"), asymptotic = FALSE,
pool.robust = FALSE, ...)
lavTestWald.mi(object, constraints = NULL, test = c("D1", "D2"),
asymptotic = FALSE, scale.W = !asymptotic, omit.imps = c("no.conv",
"no.se"), verbose = FALSE, warn = TRUE)
modindices.mi(object, test = c("D2", "D1"), omit.imps = c("no.conv",
"no.se"), standardized = TRUE, cov.std = TRUE,
information = "expected", power = FALSE, delta = 0.1, alpha = 0.05,
high.power = 0.75, sort. = FALSE, minimum.value = 0,
maximum.number = nrow(LIST), na.remove = TRUE, op = NULL)
modificationIndices.mi(object, test = c("D2", "D1"),
omit.imps = c("no.conv", "no.se"), standardized = TRUE, cov.std = TRUE,
information = "expected", power = FALSE, delta = 0.1, alpha = 0.05,
high.power = 0.75, sort. = FALSE, minimum.value = 0,
maximum.number = nrow(LIST), na.remove = TRUE, op = NULL)
modificationindices.mi(object, test = c("D2", "D1"),
omit.imps = c("no.conv", "no.se"), standardized = TRUE, cov.std = TRUE,
information = "expected", power = FALSE, delta = 0.1, alpha = 0.05,
high.power = 0.75, sort. = FALSE, minimum.value = 0,
maximum.number = nrow(LIST), na.remove = TRUE, op = NULL)
lavTestScore.mi(object, add = NULL, release = NULL, test = c("D2", "D1"),
scale.W = !asymptotic, omit.imps = c("no.conv", "no.se"),
asymptotic = is.null(add), univariate = TRUE, cumulative = FALSE,
epc = FALSE, standardized = epc, cov.std = epc, verbose = FALSE,
warn = TRUE, information = "expected")
runMI(model, data, fun = "lavaan", ..., m, miArgs = list(),
miPackage = "Amelia", seed = 12345)
lavaan.mi(model, data, ..., m, miArgs = list(), miPackage = "Amelia",
seed = 12345)
cfa.mi(model, data, ..., m, miArgs = list(), miPackage = "Amelia",
seed = 12345)
sem.mi(model, data, ..., m, miArgs = list(), miPackage = "Amelia",
seed = 12345)
growth.mi(model, data, ..., m, miArgs = list(), miPackage = "Amelia",
seed = 12345)
calculate.D2(w, DF = 0L, asymptotic = FALSE)
The efaUnrotate, orthRotate, oblqRotate, and
funRotate functions will no longer be supported. These functions
allowed users to estimate EFA parameters with lavaan. Instead, users
can now directly use lavaan's efa() function.
Exploratory SEM (ESEM) is also supported by lavaan using special operators
in lavaan's model.syntax; see
https://github.com/yrosseel/lavaan/issues/112 for details.
The measurementInvariance, measurementInvarianceCat, and
longInvariance functions will no longer be supported. Instead, use
the measEq.syntax() function, which is much more flexible and
supports a wider range of data (e.g., any mixture of numeric and
ordered indicators, any combination of multiple groups and repeated
measures, models fit to multiple imputations with lavaan.mi::lavaan.mi()).
The original reliability function was suboptimally designed.
For example, AVE was returned, which is not a reliability index. Also,
alpha and several omega-type coefficients were returned, including the
original formula that was in appropriate for models with complex structure.
Some features could be controlled by the user for one but not both types of
index For example, alpha for categorical indicators was returned on both
the observed and latent-response scales, but this was not an option for any
omega-type indices. The omegas differed in terms of whether the observed or
model-implied covariance matrix was used in the denominator, but alpha was
only computed using the observed matrix. These inconsistencies have been
resolved in the new compRelSEM() function, which returns only
one reliability index (per factor, optionally total score) according to the
user's requested features, for which there is much more flexibility.
Average variance extracted is now available in a dedicated AVE()
function.
Originally, composite reliability of a single higher-order factor was
estimated in a separate function: reliabilityL2. It is now available
for multiple higher-order factors in the same model, and from the same
compRelSEM() function that estimates reliability for first-order
factors, using the higher= argument to name higher-order factors in
the fitted model.
The runMI() function and support for lavaan.mi-class objects became
such a large part of semTools that it made sense to move that functionality
to its own package. The lavaan.mi package is now available for users
to fit lavaan models to their multiply imputed data. The new package
already fixes many bugs and provides many new features that make the
semTools OLDlavaan.mi-class obsolete. Please immediately discontinue
your dependence on semTools::runMI() amd transition to the new
lavaan.mi package, which also provides a more similar user interface
as the lavaan package provides for a single data= set. The README
on https://github.com/TDJorgensen/lavaan.mi provides a list of analogous
functionality in lavaan and lavaan.mi, and the NEWS file
documents new features and other differences from the deprecated
semTools::runMI() functionality.