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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.
# Purpose: Generate a script that causes an error by simply switching the fit function
# from vector=FALSE to vector=TRUE.
# The source of the script is Tim Bates' post here
# http://openmx.ssri.psu.edu/thread/861
require(OpenMx)
#Simulate Data
set.seed(200)
rs = .5
nSubs = 1000
selVars <- c('X','Y')
nVar = length(selVars)
xy <- mvtnorm::rmvnorm (nSubs, c(0,0), matrix(c(1,rs,rs,1),2,2))
testData <- data.frame(xy)
names(testData) <- selVars
m1 <- mxModel("vector_is_FALSE",
mxMatrix(name = "expCov", type = "Symm", nrow = nVar, ncol = nVar, free = T, values = var(testData)),
mxMatrix(name = "expMean", type = "Full", nrow = 1, ncol = nVar, free = T, values = 0),
mxExpectationNormal(covariance = "expCov", means = "expMean", dimnames = selVars),
mxFitFunctionML(vector = FALSE),
mxData(observed = testData, type = "raw")
# ,mxComputeGradientDescent(verbose=1L)
)
m1 <- mxRun(m1)
trueParam <- c(vech(cov(testData)), colMeans(testData))
omxCheckCloseEnough(omxGetParameters(m1), trueParam, 0.01)
# Now: Switch to vector
m2 <- mxModel(m1, mxFitFunctionML(vector = TRUE), name = "vector_is_TRUE")
m2 <- omxCheckWarning(mxRun(m2, suppressWarnings=TRUE), "vector_is_TRUE.fitfunction does not evaluate to a 1x1 matrix. Fixing model by adding mxAlgebra(-2*sum(log(vector_is_TRUE.fitfunction)), 'm2ll'), mxFitFunctionAlgebra('m2ll')")
omxCheckCloseEnough(omxGetParameters(m2), trueParam, 0.01)
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