mxRestore: Restore From Checkpoint File

Description

The function loads the last saved state from a checkpoint file.

Usage

mxRestore(model, chkpt.directory = ".", chkpt.prefix = "")

Arguments

model

MxModel object to be loaded.

chkpt.directory

character. Directory where the checkpoint file is located.

chkpt.prefix

character. Prefix of the checkpoint file.

Details

In general, the arguments chkpt.directory and chkpt.prefix should be identical to the mxOption: Checkpoint Directory and Checkpoint Prefix that were specificed on the model before execution.

Alternatively, the checkpoint file can be manually loaded as a data.frame in R. Use read.table with the options header=TRUE, sep="", stringsAsFactors=FALSE, check.names=FALSE.

Returns an MxModel object with free parameters updated to the last saved values.

The OpenMx User's guide can be found at http://openmx.psyc.virginia.edu/documentation.

library(OpenMx)

# Simulate some data

x=rnorm(1000, mean=0, sd=1) y= 0.5*x + rnorm(1000, mean=0, sd=1) tmpFrame <- data.frame(x, y) tmpNames <- names(tmpFrame)

# Create a model that includes an expected covariance matrix, # an expectation function, a fit function, and an observed covariance matrix

data <- mxData(cov(tmpFrame), type="cov", numObs = 1000) expCov <- mxMatrix(type="Symm", nrow=2, ncol=2, values=c(.2,.1,.2), free=TRUE, name="expCov") expFunction <- mxExpectationNormal(covariance="expCov", dimnames=tmpNames) fitFunction <- mxFitFunctionML() testModel <- mxModel(model="testModel", expCov, data, expFunction, fitFunction)

#Use mxRun to optimize the free parameters in the expected covariance matrix modelOut <- mxRun(testModel, checkpoint = TRUE) modelOut$expCov

#Use mxRestore to load the last checkpoint saved state of the model modelRestore <- mxRestore(testModel) modelRestore$expCov