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library(OpenMx)
data(demoOneFactor)
manifests <- names(demoOneFactor)
latents <- c("G")
base <- mxModel(
"OneFactorCov", type="RAM",
manifestVars = manifests,
latentVars = latents,
mxPath(from=latents, to=manifests, values=rnorm(length(manifests))),
mxPath(from=manifests, arrows=2, values=rlnorm(length(manifests))),
mxPath(from=latents, arrows=2, free=FALSE, values=1.0),
mxPath(from = 'one', to = manifests, values=0),
mxData(demoOneFactor, type="raw"))
base <- mxRun(base)
cmp1 <- mxRename(base, "cmp1")
cmp1$A$values['x1', 'G'] <- 0
cmp1$A$free['x1','G'] <- FALSE
cmp1 <- mxRun(cmp1)
cmp2 <- mxRename(base, "cmp2")
cmp2$M$values[,] <- 0
cmp2$M$free[1,'x1'] <- FALSE
cmp2 <- mxRun(cmp2)
cmp3 <- mxRename(cmp2, "cmp3")
cmp3$M$values[,] <- 0
cmp3$M$free[1,'x2'] <- FALSE
cmp3 <- mxRun(cmp3)
mxCompare(base, cmp1) # p=0
omxCheckError(anova(cmp1),
"Compare model 'cmp1' with which other models?")
pgot <- anova(cmp1, cmp2, cmp3, base)
omxCheckEquals(is.na(pgot[,'p']), c(T,F,T,T))
set.seed(170623)
got <- mxCompare(base, cmp1, boot=TRUE)
omxCheckCloseEnough(nrow(attr(got@results,'bootData')[[1]]), 400)
omxCheckCloseEnough(got[2,'p'], 0, 1/nrow(attr(got@results,'bootData')[[1]]))
pgot <- mxCompare(base, cmp2)
got <- mxCompare(base, cmp2, replications=10)
omxCheckEquals(nrow(attr(got@results,'bootData')[[1]]), 10)
got <- mxCompare(base, cmp2, previousRun = got, replications=500)
omxCheckCloseEnough(got[2,'p'], pgot[2,'p'], .01)
pgot <- mxCompareMatrix(list(base, cmp2, cmp3), stat='p')
got <- mxCompareMatrix(list(base, cmp2, cmp3), stat='p', replications=500)
omxCheckCloseEnough(cor(pgot[lower.tri(got)],
got[lower.tri(got)]), 1, .01)
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