Latent distribution parameters, gradient and information
[openmx:openmx.git] / models / passing / ifa-drm-mg.R
2013-12-17 jpritikinLatent distribution parameters, gradient and information
2013-11-13 jpritikinGeneric ComputeEM with Ramsay (1975) acceleration
2013-08-17 jpritikinAllow ComputeIterate to test maximum absolute change
2013-08-05 jpritikinRemove EItemParam
2013-08-04 jpritikinInvert Hessian piecewise
2013-07-29 jpritikinFix incorrect handling of missing data
2013-07-29 jpritikinFix Hessian to work with equality constraints
2013-07-22 jpritikinRename start to adjustStart
2013-07-18 jpritikinProper dependency tracking for BA81
2013-07-16 jpritikinRoll BA81 fit function into FitFunctionML
2013-07-16 jpritikinMove all fitfunction args to expectation
2013-07-16 jpritikinGradients for the latent distribution
2013-07-12 jpritikinPass item models in a list instead of an MxMatrix
2013-07-11 jpritikinAdjust BA81 expectation context argument
2013-07-10 jpritikinRework specification of free param groups per Tim's...
2013-07-07 jpritikinPartially fix reporting for custom Compute plans
2013-07-07 jpritikinAdd multigroup tests
2013-07-06 jpritikinMultigroup IFA
2013-07-06 jpritikinNewton-Raphson
2013-07-06 jpritikinReplace mxComputeAssign with mxAlgebra(..., fixed=TRUE)
2013-07-06 jpritikinFix mxComputeOnce per Tim's suggestion
2013-07-06 jpritikinMove tests to passing