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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(OpenMx)
# =============================================
# = Find local minimum of ((x-5)*(x-1)*(x+3)) =
# = It is 1+4/sqrt(3) or approx 3.309401 =
# =============================================
# This example uses an mxFitFunctionR
cubic <- function(marg, state){
x <- marg$matrices$param$values[1]
got <- (x-5) * (x-1) * (x+3)
return(got)
}
model <- mxModel(name="root",
mxMatrix(name="param", type="Full", ncol=1, nrow=1, free=TRUE, values=0),
mxFitFunctionR(cubic)
)
model <- mxRun(model, silent=TRUE, suppressWarnings=TRUE)
omxCheckCloseEnough(model$matrices$param$values, 3.309401, 10^-3)
### Can't optimize infinity
infer <- function(marg,state) return(Inf)
model <- mxModel(name="inf",
mxMatrix(name="param", type="Full", ncol=1, nrow=1, free=TRUE, values=0),
mxFitFunctionR(infer))
ign <- omxCheckWarning(try(mxRun(model), silent=TRUE),
"In model 'inf' Optimizer returned a non-zero status code 10. Starting values are not feasible. Consider mxTryHard()")
###
counter <<- 1
count <- function(marg,state) {
counter <<- state[[1]]
state[[1]] <- state[[1]] + 1
return(list(1, state))
}
model <- mxModel(name="count",
mxMatrix(type="Full", ncol=1, nrow=1, name="param", free=TRUE, values=0),
mxFitFunctionR(count, 1))
model <- omxCheckWarning(mxRun(model, silent=TRUE),
"In model 'count' Optimizer returned a non-zero status code 5. The Hessian at the solution does not appear to be convex. See ?mxCheckIdentification for possible diagnosis (Mx status RED).")
omxCheckTrue(counter > 1)
###
omxCheckError(mxCheckIdentification(model), "Identification check is not possible for models with 'MxFitFunctionAlgebra', 'MxFitFunctionRow', and 'MxFitFunctionR' fit functions.
If you have a multigroup model, use mxFitFunctionMultigroup.")
###
toomany <- function(marg,state) {
return(list(1, state, 5))
}
model <- mxModel(name="toomany",
mxMatrix(type="Full", ncol=1, nrow=1, name="param", free=TRUE, values=0),
mxFitFunctionR(toomany))
model <- omxCheckError(mxRun(model), "The job for model 'toomany' exited abnormally with the error message: FitFunction returned more than 2 arguments")
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