This class contains the results of 2-Stage Maximum Likelihood (TSML)
estimation for missing data. The summary, anova, vcov
methods return corrected SEs and test statistics. Other methods are
simply wrappers around the corresponding lavaan::lavaan
methods.
# S4 method for twostage
show(object)# S4 method for twostage
summary(object, ...)
# S4 method for twostage
anova(object, h1 = NULL, baseline = FALSE)
# S4 method for twostage
nobs(object, type = c("ntotal", "ngroups",
"n.per.group", "norig", "patterns", "coverage"))
# S4 method for twostage
coef(object, type = c("free", "user"))
# S4 method for twostage
vcov(object, baseline = FALSE)
# S4 method for twostage
fitted.values(object, model = c("target", "saturated",
"baseline"), type = "moments", labels = TRUE)
# S4 method for twostage
fitted(object, model = c("target", "saturated",
"baseline"), type = "moments", labels = TRUE)
# S4 method for twostage
residuals(object, type = c("raw", "cor", "normalized",
"standardized"))
# S4 method for twostage
resid(object, type = c("raw", "cor", "normalized",
"standardized"))
signature(object = "twostage"): The show function
is used to display the results of the anova method, as well as the
header of the (uncorrected) target model results.
signature(object = "twostage", ...): The summary
function prints the same information from the show method, but also
provides (and returns) the output of
parameterEstimates(object@target, ...) with corrected
SEs, test statistics, and confidence intervals. Additional
arguments can be passed to lavaan::parameterEstimates(),
including fmi = TRUE to provide an estimate of the fraction of
missing information.
signature(object = "twostage", h1 = NULL, baseline = FALSE):
The anova function returns the residual-based \(\chi^2\) test
statistic result, as well as the scaled \(\chi^2\) test statistic result,
for the model in the target slot, or for the model in the
baseline slot if baseline = TRUE. The user can also provide
a single additional twostage object to the h1 argument, in
which case anova returns residual-based and scaled
(\(\Delta\))\(\chi^2\) test results, under the assumption that the
models are nested. The models will be automatically sorted according their
degrees of freedom.
signature(object = "twostage", type = c("ntotal", "ngroups", "n.per.group", "norig", "patterns", "coverage")):
The nobs function will return the total sample sized used in the
analysis by default. Also available are the number of groups or the sample
size per group, the original sample size (if any rows were deleted because
all variables were missing), the missing data patterns, and the matrix of
coverage (diagonal is the proportion of sample observed on each variable,
and off-diagonal is the proportion observed for both of each pair of
variables).
signature(object = "twostage", type = c("free", "user")):
This is simply a wrapper around the corresponding
lavaan::lavaan method, providing point estimates from the
target slot.
signature(object = "twostage", baseline = FALSE): Returns
the asymptotic covariance matrix of the estimated parameters (corrected for
additional uncertainty due to missing data) for the model in the
target slot, or for the model in the baseline slot if
baseline = TRUE.
signature(object = "twostage", model = c("target", "saturated", "baseline")): This is simply a wrapper
around the corresponding lavaan::lavaan method, providing
model-implied sample moments from the slot specified in the model
argument.
signature(object = "twostage", type = c("raw", "cor", "normalized", "standardized")): This is simply a wrapper around the
corresponding lavaan::lavaan method, providing residuals of
the specified type from the target slot.
An object of class twostage.
arguments passed to lavaan::parameterEstimates().
An object of class twostage in which object is
nested, so that their difference in fit can be tested using
anova (see Value section for details).
logical indicating whether to return results for the
baseline model, rather than the default target (hypothesized) model.
The meaning of this argument varies depending on which method it
it used for. Find detailed descriptions in the Value section
under coef, nobs, and residuals.
character naming the slot for which to return the
model-implied sample moments (see fitted.values description.)
logical indicating whether the model-implied sample
moments should have (row/column) labels.
saturatedA fitted lavaan::lavaan object containing the saturated model results
targetA fitted lavaan::lavaan object containing the target/hypothesized model results
baselineA fitted lavaan::lavaan object containing the baseline/null model results
auxNamesA character string (potentially of length == 0) of any
auxiliary variable names, if used
Objects can be created via the
twostage() function.
Terrence D. Jorgensen (University of Amsterdam; TJorgensen314@gmail.com)
twostage()
# See the example from the twostage function
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