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#
# Copyright 2007-2018 by the individuals mentioned in the source code history
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
mxFIMLObjective <- function(covariance, means, dimnames = NA,
thresholds = NA, vector = FALSE, threshnames = dimnames) {
if (missing(covariance) || typeof(covariance) != "character") {
stop("'covariance' argument is not a string (the name of the expected covariance matrix)")
}
if (missing(means) || typeof(means) != "character") {
stop("'means' argument is not a string (the name of the expected means vector)")
}
if (single.na(thresholds)) thresholds <- as.character(NA)
if (single.na(dimnames)) dimnames <- as.character(NA)
if (!is.vector(dimnames) || typeof(dimnames) != 'character') {
stop("'dimnames' argument is not a character vector")
}
if (length(thresholds) != 1) {
stop("'thresholds' argument must be a single matrix or algebra name")
}
if (length(dimnames) == 0) {
stop("'dimnames' argument cannot be an empty vector")
}
if (length(dimnames) > 1 && any(is.na(dimnames))) {
stop("NA values are not allowed for 'dimnames' vector")
}
if (length(vector) > 1 || typeof(vector) != "logical") {
stop("'vector' argument is not a logical value")
}
threshnames <- checkThreshnames(threshnames)
expectation <- mxExpectationNormal(covariance, means, dimnames,
thresholds, threshnames)
fitfunction <- mxFitFunctionML(vector)
msg <- paste("Objective functions like mxFIMLObjective() have been deprecated in favor of expectation and fit functions.\n",
"Please use mxExpectationNormal(covariance= , means = , ...) instead, and add a call to mxFitFunctionML(). See examples at help(mxExpectationNormal)")
warning(msg)
return(list(expectation=expectation, fitfunction=fitfunction))
}
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