Tools for multiple imputation in multilevel modeling
This is the change log for version 0.4-0. For further details, see the CRAN page and the NEWS file.
testEstimates
: added initial support for SEM (lavaan
); argument var.comp
is now deprecated and was replaced by extra.pars
testModels
: added new pooling method for LRTs ("D4"
); now adopts more accurate formula for small-sample degrees of freedom (df.com
); added initial support for SEM (lavaan
); expanded support of "D3"
for multilevel models (lme4
) with arbitrary number of clusters; added ariv
argument for different estimatorstestConstraints
: added initial support for SEM (lavaan
); now adopts more accurate formula for small-sample degrees of freedom (df.com
)anova.mitml.results
: see testModels
; now uses "D4"
and "D2"
as fallback options (in that order)This is the change log for version 0.3-5. For further details, see the CRAN page and the NEWS file.
testEstimates
: now prints the two-tailed p-value (#2), improved output with constrained variance componentstestEstimates
, testModels
: revised label for p-valuesc.mitml.list
, rbind.mitml.list
, cbind.mitml.list
: combine lists of multiply imputed data sets by data set, row, or column
sort.mitml.list
: sort lists of multiply imputed data sets by one or several variables
subset.mitml.list
: generate subsets for lists of multiply imputed data sets
amelia2mitml.list
: convert imputations generated by amelia
(Amelia
)
testEstimates
, testModels
, testConstraints
: added support for GEEs (geepack
)mitmlComplete
: fixes error with categorical variables when there is only a single missing value (#1)This is the initial GitHub release of this package. The changes listed here are in comparison to the previous version. For a list of all changes (including previous versions), see the CRAN page and the NEWS file.
mitmlComplete
: changed default arguments (print
now defaults to "all"
, returning list of completed data sets)plot
: adjusted warning message for pos
argument to include "beta2"
.jomoImpute
: fixes error in which jomoImpute()
rejected correctly specified priors when group=NULL
mitmlComplete
: fixes error with categorical target variables when there are no missing data