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#
# Copyright 2007-2019 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.
library(testthat)
library(OpenMx)
data(demoOneFactor)
factorModel <- mxModel(
"One Factor",
mxMatrix("Full", 5, 1, values=0.2,
free=TRUE, name="A"),
mxMatrix("Symm", 1, 1, values=1,
free=FALSE, name="L"),
mxMatrix("Diag", 5, 5, values=1,
free=TRUE, name="U"),
mxAlgebra(A %*% L %*% t(A) + U, name="R"),
mxExpectationNormal("R", dimnames = names(demoOneFactor)),
mxFitFunctionML(),
mxData(cov(demoOneFactor), type="cov", numObs=500),
mxComputeSequence(list(
mxComputeNumericDeriv(),
mxComputeReportDeriv()))
)
fitModel <- mxRun(factorModel)
fullH <- fitModel$output$hessian
omxCheckEquals(fitModel$compute$steps[[1]]$output$probeCount, 4 * (10^2+10))
kh <- fullH[3:10,3:10]
kh[1,2] <- kh[1,2] + 5 # asymmetric
kh[2,1] <- kh[2,1] - 5 # asymmetric
kh[3,3] <- NA
limModel <- mxModel(factorModel,
mxComputeSequence(list(
mxComputeNumericDeriv(verbose=0,
knownHessian=kh),
mxComputeReportDeriv())))
limModel <- expect_warning(mxRun(limModel),
"knownHessian[1,2] is not symmetric", fixed=TRUE)
omxCheckCloseEnough(limModel$output$hessian[,1:2], fullH[,1:2], 1e-3)
omxCheckEquals(limModel$compute$steps[[1]]$output$probeCount, 160)
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