Nothing
#
# 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)
if (mxOption(NULL, "Default optimizer") == "SLSQP") {
mxOption(NULL, "Optimality tolerance", "6e-10")
}
set.seed(654684)
data(demoOneFactor)
manifests <- names(demoOneFactor)
latents <- c("factor")
nVar <- length(manifests)
nFac <- length(latents)
factorModel <- mxModel("One Factor ML",
mxData(cov(demoOneFactor), type="cov", means=colMeans(demoOneFactor), numObs=500),
mxMatrix("Full", 1, nVar, free=T, values=colMeans(demoOneFactor), name="M"),
mxMatrix("Full", nVar, nFac, free=T, values=.2, ubound=1, name="A"),
mxMatrix("Diag", nVar, nVar, free=T, values=1, lbound=.0001, ubound=10, name="D"),
mxAlgebra(A%*%t(A) + D, name="C"),
mxAlgebra(sqrt(diag2vec(C)),name="P"),
mxFitFunctionML(),mxExpectationNormal("C", "M", dimnames=manifests),
mxCI(c("P"))
)
factorFitCI <- mxTryHard(factorModel, fit2beat=-2863, extraTries=3, intervals=TRUE)
factorSummCI <- summary(factorFitCI)
#print(factorFitCI$output$computes[[2]])
( ci <- factorFitCI$output$confidenceIntervals )
#cat(deparse(round(ci[,'lbound'], 4)))
omxCheckCloseEnough(ci[,'estimate'], c(0.4455, 0.54, 0.6115, 0.7302, 0.8186), 1e-3)
omxCheckCloseEnough(ci[,'lbound'] - c(0.4174, 0.5082, 0.5755, 0.6872, 0.7704), rep(0,5), 4e-2)
if (mxOption(NULL, "Default optimizer") != "NPSOL") {
omxCheckCloseEnough(ci[,'ubound'], c(0.4747, 0.5754, 0.6516, 0.7781, 0.8723), 4e-2)
}
factorModelRaw <- mxModel(factorFitCI,
mxData(demoOneFactor, type="raw"),
mxFitFunctionML(),
mxExpectationNormal("C", "M", dimnames=manifests),
name = "One Factor FIML")
factorFitRawCI <- mxRun(factorModelRaw, intervals=TRUE, suppressWarnings = TRUE)
factorSummRawCI <- summary(factorFitRawCI)
ci <- factorFitRawCI$output$confidenceIntervals
omxCheckCloseEnough(ci[,'estimate'], c(0.4455, 0.54, 0.6115, 0.7302, 0.8186), 1e-3)
omxCheckCloseEnough(ci[,'lbound'] - c(0.4193, 0.5082, 0.5755, 0.6872, 0.7704), rep(0,5), 1e-3)
omxCheckCloseEnough(ci[,'ubound'], c(0.4747, 0.5754, 0.6516, 0.7781, 0.8723), 1e-3)
# Compare to original MX Estimates
# 5 Confidence intervals requested in group 1
# Matrix Element Int. Estimate Lower Upper Lfail Ufail
# P 1 1 1 95.0 0.4465 0.4192 0.4749 0 1 0 1
# P 1 1 2 95.0 0.5412 0.5081 0.5756 0 1 6 1
# P 1 1 3 95.0 0.6131 0.5753 0.6518 0 1 4 1
# P 1 1 4 95.0 0.7322 0.6870 0.7783 6 1 0 0
# P 1 1 5 95.0 0.8209 0.7702 0.8726 0 1 0 0
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.