inst/models/passing/SimpleRObjective.R

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require(OpenMx)

A <- mxMatrix(nrow = 2, ncol = 2, values = c(1:4), free = TRUE, name = 'A')

squared <- function(x) { x ^ 2 }

objFunction <- function(model, state) {
	return(mxEval(squared(A[1,1] - 4) + 
		squared(A[1,2] - 3) +
		squared(A[2,1] - 2) +
		squared(A[2,2] - 1), model))
}
objective <- mxFitFunctionR(objFunction)

model <- mxModel('model', A, objective)

modelOut <- mxRun(model)

omxCheckCloseEnough(mxEval(A, modelOut), 
	rbind(c(4, 3), c(2, 1)), 
	epsilon = 0.001)

omxCheckCloseEnough(modelOut$output$hessian, diag(2, 4), 1e-9)
OpenMx/OpenMx documentation built on April 17, 2024, 3:32 p.m.