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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)
varNames <- c('x','y')
A <- mxMatrix(values = 0.5, nrow = 2, ncol = 1,
free = TRUE, name = "A")
D <- mxMatrix(type = "Diag", values = c(0, 0.5),
free = c(FALSE, TRUE), nrow = 2, name = "D")
D$lbound[2,2] <- 0.001
A$lbound[1,1] <- 0.001
expectedCov <- mxAlgebra(A %*% t(A) + D, "expectedCov",
dimnames = list(varNames, varNames))
observedCov <- mxData(matrix(c(1.2, 0.8, 0.8, 1.3), 2, 2,
dimnames = list(varNames, varNames)), 'cov', numObs = 150)
objective <- mxExpectationNormal(covariance = "expectedCov")
model <- mxModel(A, D, expectedCov, objective, observedCov, mxFitFunctionML())
model <- mxRun(model)
omxCheckCloseEnough(model$output$estimate, c(1.0917, .7278, .7615), 0.001)
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