ds.mxRun: Performs the optimization of a model to estimate parameters

Description Usage Arguments Details Value Author(s) References Examples

Description

This function is similar to OpenMx function mxRun.

Usage

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ds.mxRun(model = NULL, intervals = FALSE, silent = FALSE,
  suppressWarnings = FALSE, unsafe = FALSE, checkpoint = FALSE,
  useSocket = FALSE, onlyFrontend = FALSE, useOptimizer = TRUE,
  newobj = "mxRun_output", datasources = NULL)

Arguments

model

an mxModel object to be optimized.

intervals

a boolean indicating whether to compute the specified confidence intervals.

silent

a boolean indicating whether to print status to terminal.

suppressWarnings

a boolean indicating whether to suppress warnings.

unsafe

a boolean indicating whether to ignore errors.

checkpoint

a boolean indicating whether to periodically write parameter values to a file.

useSocket

a boolean indicating whether to periodically write parameter values to a socket.

onlyFrontend

a boolean indicating whether to run only front-end model transformations.

useOptimizer

a boolean indicating whether to run only the log-likelihood of the current free parameter values but not move any of the free parameters.

newobj

the name of the new object. By default the the name of the new object is "mxRun_output".

datasources

a list of opal object(s) obtained after login in to opal servers; these objects hold also the data assign to R, as dataframe, from opal datasources. By default an internal function looks for 'opal' objects in the environment and sets this parameter.

Details

See details of the OpenMx function 'mxRun' in the package OpenMx.

Value

an mxModel object with free parameters updated to their final values. The return value contains an "output" slot with the results of optimization.

Author(s)

Gaye, A.

References

Steven M. Boker, Michael C. Neale, Hermine H. Maes, Michael J. Wilde, Michael Spiegel, Timothy R. Brick, Jeffrey Spies, Ryne Estabrook, Sarah Kenny, Timothy C., Bates, Paras Mehta, and John Fox. (2011) OpenMx: An Open Source Extended Structural Equation Modeling Framework. Psychometrika. Steven M. Boker, Michael C. Neale, Hermine H. Maes, Michael J. Wilde, Michael Spiegel, Timothy R. Brick, Ryne Estabrook, Timothy C. Bates, Paras Mehta, Timo von Oertzen, Ross J. Gore, Michael D. Hunter, Daniel C. Hackett, Julian Karch and Andreas M. Brandmaier. (2012) OpenMx 1.3 User Guide.

Examples

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{

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datashield/dsMxClient documentation built on May 14, 2019, 7:51 p.m.