mxComputeCheckpoint {OpenMx}  R Documentation 
Captures the current state of the backend. When path
is set, the
state is written to disk in a single row. When toReturn
is set,
the state is recorded in memory and returned after mxRun
.
mxComputeCheckpoint(
what = NULL,
...,
path = NULL,
append = FALSE,
header = TRUE,
toReturn = FALSE,
parameters = TRUE,
loopIndices = TRUE,
fit = TRUE,
counters = TRUE,
status = TRUE,
standardErrors = FALSE,
gradient = FALSE,
vcov = FALSE,
vcovFilter = c(),
sampleSize = FALSE,
vcovWLS = FALSE,
useVcovFilter = FALSE
)
what 
a character vector of algebra names to include in each checkpoint 
... 
Not used. Forces remaining arguments to be specified by name 
path 
a character vector of where to write the checkpoint file 
append 
if FALSE, truncates the checkpoint file upon open. If TRUE, existing data is preserved and checkpoints are appended. 
header 
whether to write the header that describes the content of each column 
toReturn 
logical. Whether to store the checkpoint in memory and return it after the model is run 
parameters 
logical. Whether to include the parameter vector 
loopIndices 
logical. Whether to include the loop indices 
fit 
logical. Whether to include the fit value 
counters 
logical. Whether to include counters (number of evaluations and iterations) 
status 
logical. Whether to include the status code 
standardErrors 
logical. Whether to include the standard errors 
gradient 
logical. Whether to include the gradients 
vcov 
logical. Whether to include the vcov in halfvectorized order 
vcovFilter 
character vector. Vector of parameters indicating which parameter covariances to include. Only the variance is included for those parameters not mentioned. 
sampleSize 

vcovWLS 
logical. Whether to include the vcov from WLS residualizing regressions in halfvectorized order 
useVcovFilter 
logical. Whether to use the vcovFilter (TRUE) or include all entries (FALSE) 
mxComputeLoadData
, mxComputeLoadMatrix
,
mxComputeLoadContext
, mxComputeLoop
Other model state:
mxRestore()
,
mxSave()
library(OpenMx)
m1 < mxModel(
"poly22", # Eqn 22 from Tsallis & Stariolo (1996)
mxMatrix(type='Full', values=runif(4, min=1e6, max=1e6),
ncol=1, nrow=4, free=TRUE, name='x'),
mxAlgebra(sum((x*x8)^2) + 5*sum(x) + 57.3276, name="fit"),
mxFitFunctionAlgebra('fit'))
plan < mxComputeLoop(list(
mxComputeSetOriginalStarts(),
mxComputeSimAnnealing(method="tsallis1996",
control=list(tempEnd=1)),
mxComputeCheckpoint(path = "result.log")),
i=1:4)
m1 < mxRun(mxModel(m1, plan)) # see the file 'result.log'