Revisions allow you to track differences between multiple versions of your content, and revert back to older versions.
Function to calculate confidence intervals in parallel in a model.
omxSetParameters(model, labels, free = NULL, values = NULL, newlabels = NULL, lbound = NULL, ubound = NULL, indep = FALSE)
|model||a fitted MxModel object.|
|run||a boolean indicating if model should be run. Set to TRUE by default|
data(demoOneFactor) manifests # See the results... print(factorParallel@output$confidenceIntervals) lbound ubound One Factor.P[1,1] 0.4193000 0.4747328 One Factor.P[2,1] 0.5082290 0.5754222 One Factor.P[3,1] 0.5755068 0.6515979 One Factor.P[4,1] 0.6871788 0.7780409 One Factor.P[5,1] 0.7704188 0.8722923
Please add material here as you learn... If you have questions not answers, then add those here: That's how a wiki works.