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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.
require(OpenMx)
cov <- mxMatrix('Full', 2, 2, values = c(0,1,1,0), name = 'cov', free = c(FALSE,TRUE,TRUE,FALSE))
objective <- mxExpectationNormal('cov', dimnames = c('a','b'))
identity <- diag(2)
dimnames(identity) <- list(c('a','b'),c('a','b'))
data <- mxData(identity, 'cov', numObs = 10)
model <- mxModel('model', cov, objective, data, mxFitFunctionML())
ign <- omxCheckWarning(omxCheckError(mxRun(model), "The job for model 'model' exited abnormally with the error message: fit is not finite (model.fitfunction: stan::prob::multi_normal_sufficient_log: LDLT_Factor of covariance parameter is not positive definite. last conditional variance is 0.)"),
"In model 'model' Optimizer returned a non-zero status code 10. Starting values are not feasible. Consider mxTryHard()")
dimnames(identity) <- list(c('a','c'),c('a','c'))
data <- mxData(identity, 'cov', numObs = 10)
model <- mxModel('model', cov, objective, data, mxFitFunctionML())
ign <- omxCheckError(mxRun(model), "The dimnames for the expected covariance matrix ('a' and 'b') and the observed covariance matrix ('a' and 'c') in the Normal expectation function in model 'model' are not identical.")
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