Nothing
#
# 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.
# -----------------------------------------------------------------------------
# Program: UnivariateSaturated_PathRaw.R
# Author: Hermine Maes
# Date: 2009.08.01
#
# ModelType: Saturated
# DataType: Simulated Continuous
# Field: None
#
# Purpose:
# Univariate Saturated model to estimate means and variances
# Path style model input - Raw data input
#
# RevisionHistory:
# Hermine Maes -- 2009.10.08 updated & reformatted
# Ross Gore -- 2011.06.06 added Model, Data & Field
# -----------------------------------------------------------------------------
require(OpenMx)
# Load Library
# -----------------------------------------------------------------------------
set.seed(100)
x <- rnorm (1000, 0, 1)
testData <- as.matrix(x)
selVars <- c("X")
dimnames(testData) <- list(NULL, selVars)
summary(testData)
colMeans(testData)
var(testData)
# Simulate Data
# -----------------------------------------------------------------------------
univSatModel2 <- mxModel("univSat2",
manifestVars= selVars,
mxPath(
from=c("X"),
arrows=2,
free = TRUE,
values=1,
lbound=.01,
labels="vX"
),
mxPath(
from=c("one"),
to=c("X"),
free = TRUE,
values=0,
labels="mX"
),
mxData(
observed=testData,
type="raw",
),
type="RAM"
)
univSatFit2 <- mxRun(univSatModel2)
EM2 <- mxEval(M, univSatFit2)
EC2 <- mxEval(S, univSatFit2)
LL2 <- mxEval(objective,univSatFit2);
# example 2: Saturated Model with Raw Data and Path-Style Input
# -----------------------------------------------------------------------------
Mx.EM2 <- 0.01680516
Mx.EC2 <- 1.061050
Mx.LL2 <- 2897.135
# example Mx..2: Saturated Model
# with Raw Data
# -------------------------------------
# Mx answers hard-coded
# -----------------------------------------------------------------------------
omxCheckCloseEnough(LL2,Mx.LL2,.001)
omxCheckCloseEnough(EC2,Mx.EC2,.001)
omxCheckCloseEnough(EM2,Mx.EM2,.001)
# 2:RawPat
# -------------------------------------
# Compare OpenMx results to Mx results
# (LL: likelihood; EC: expected covariance, EM: expected means)
# -----------------------------------------------------------------------------
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