-------------- MICE NEWS-------------------------------------------

MICE: Multivariate Imputation by Chained Equations

MICE is an R package implementing multiple imputation of
incomplete multivariate data according the principle of
Fully Conditional Specification (FCS).
Question or suggestions about MICE can be send to

   stef.vanbuuren@tno.nl
   c.g.m.oudshoorn@utwente.nl


CHANGELOG MICE
~~~~~~~~~~~~~~

V2.9 - 31-08-2011 / SvB
FIXED:   appropriate trimming of ynames and xnames in Trellis plots
FIXED:   exported: spss2mids(), mice.impute.2L.norm()
ADDED:   mice.impute.norm.predict(), mice.impute.norm.boot(), mice.impute.logreg.boot()
ADDED:   supports.transparent() to detect whether .Device can do semi-transparent colors
FIXED:   stringr package is now properly loaded
ADDED:   trellis version of plot.mids()
ADDED:   automatic semi-transparancy detection in mdc()
FIXED:   documentation of mira class (thanks Sandro Tsang)

V2.8 - 24-03-2011 / SvB
FIXED:   bug fixed in find.collinear() that bombed when only one variable was left

V2.7 - 16-03-2011 / SvB
CHANGED: check.data(), remove.lindep(): fully missing variables are imputed if allow.na=TRUE (Alexander Robitzsch)
FIXED:   bug in check.data(). Now checks collinearity in predictors only (Alexander Robitzsch)
CHANGED: abbreviations of arguments eliminated to evade linux warnings

V2.6 - 03-03-2011 / SvB
ADDED:   bwplot(), stripplot(), densityplot() and xyplot() for creating Trellis graphs
ADDED:   function mdc() and mice.theme() for graphical parameters
ADDED:   argument passing from mice() to lower-level functions (requested by Juned Siddique)
FIXED:   erroneous rgamma() replaced by rchisq() in .norm.draw, lowers variance a bit for small n
ADDED:   with.mids() extended to handle expression objects
FIXED:   reporting bug in summary.mipo()
CHANGED: df calculation in pool(), intervals may become slightly wider
ADDED:   internal functions mice.df() and df.residual()
FIXED:   error in rm calculation for "likelihood" in pool.compare()
CHANGED: default ridge parameter changed

V2.5 - 06-01-2011 / SvB 
ADDED:   various stability enhancements and code clean-up
ADDED:   find.collinear() function
CHANGED: automatic removal of constant and collinear variables
ADDED:   ridge parameter in .norm.draw() and .norm.fix()
ADDED:   mice.impute.polr() for ordered factors
FIXED:   chainMean and chainVar in mice.mids() 
FIXED:   iteration counter for mice.mids and sampler() 
ADDED:   component 'loggedEvents' to mids-object for logging actions
REMOVED: annoying warnings about removed predictors
ADDED:   updateLog() function
CHANGED: smarter handling of model setup in mice()   
CHANGED: .pmm.match() now draws from the three closest donors 
ADDED:   mids2spss() for shipping a mids-object to SPSS
FIXED:   change in summary.mipo() to work with as.mira()
ADDED:   function mice.impute.2L.norm.noint()
ADDED:   function as.mira()
FIXED:   global assign() removed from mice.impute.polyreg()
FIXED:   improved handling of factors by complete() 
FIXED:   improved labeling of nhanes2 data

V2.4 - 17-10-2010 / SvB
ADDED:   pool() now supports class 'polr' (Jean-Baptiste Pingault) 
FIXED:   solved problem in mice.impute.polyreg when one of the variables was named y or x 
FIXED:   remove.lindep: intercept prediction bug 
ADDED:   version() function
ADDED:   cc(), cci() and ccn() convenience functions

V2.3 - 14-02-2010 / SvB
FIXED:   check.method: logicals are now treated as binary variables (Emmanuel Charpentier)
FIXED:   complete: the NULL imputation case is now properly handled
FIXED:   mice.impute.pmm: now creates between imputation variability for univariate predictor
FIXED:   remove.lindep: returns 'keep' vector instead of data 

V2.2 - 13-01-2010 / SvB
ADDED:   pool() now supports class 'multinom' (Jean-Baptiste Pingault)
FIXED:   bug fixed in check.data for data consisting of two columns (Rogier Donders, Thomas Koepsell)
ADDED:   new function remove.lindep() that removes predictors that are (almost) linearly dependent
FIXED:   bug fixed in pool() that produced an (innocent) warning message (Qi Zheng)

V2.1 - 14-09-2009 / SvB
ADDED:   pool() now also supports class 'mer'
CHANGED: nlme and lme4 are now only loaded if needed (by pool())
FIXED:   bug fixed in mice.impute.polyreg() when there was one missing entry (Emmanuel Charpentier)
FIXED:   bug fixed in plot.mids() when there was one missing entry (Emmanuel Charpentier) 
CHANGED: NAMESPACE expanded to allow easy access to function code
FIXED:   mice() can now find mice.impute.xxx() functions in the .GlobalEnv 

v2.0 - 26-08-2009 / SvB, KO 	Major upgrade for JSS manuscript
ADDED:   new functions cbind.mids(), rbind.mids(), ibind()
ADDED:   new argument in mice(): 'post' in post-processing imputations
ADDED:   new functions: pool.scaler(), pool.compare(), pool.r.squared()
ADDED:	 new data: boys, popmis, windspeed
FIXED:	 function summary.mipo all(object$df) command fixed
DELETED: data.frame.to.matrix replaced by the internal data.matrix function
ADDED:   new imputation method mice.impute.2l.norm() for multilevel data
CHANGED: pool now works for any class having a vcov() method
ADDED:   with.mids() provides a general complete-data analysis
ADDED:   type checking in mice() to ensure appropriate imputation methods
ADDED:   warning added in mice() for constant predictors
ADDED:   prevention of perfect prediction in mice.impute.logreg() and mice.impute.polyreg()
CHANGED: mice.impute.norm.improper() changed into mice.impute.norm.nob()
DELETED: mice.impute.polyreg2() deleted
ADDED:   new 'include' argument in complete()
ADDED:   support for the empty imputation method in mice()
ADDED:   new function md.pairs()
ADDED:   support for intercept imputation
ADDED:   new function quickpred()
FIXED:   plot.mids() bug fix when number of variables > 5


v1.21 - 15/3/2009 SvB  Maintainance release

FIXED:   Stricter type checking on logicals in mice() to evade warnings.
CHANGED: Modernization of all help files.
FIXED:   padModel: treatment changed to contr.treatment
CHANGED: Functions check.visitSequence, check.predictorMatrix, check.imputationMethod are now coded as local to mice()
FIXED:   existsFunction in check.imputationMethod now works both under S-Plus and R

v1.16 - 6/25/2007

FIXED: The impution function impute.logreg used convergence criteria that were too optimistic when fitting a GLM with glm.fit. Thanks to Ulrike Gromping.

v1.15 - 01/09/2006

FIXED: In the lm.mids and glm.mids functions, parameters were not passed through to glm and lm.

v1.14R - 9/26/2005 11:44AM
FIXED: Passive imputation works again. (Roel de Jong)
CHANGED: Random seed is now left alone, UNLESS the argument "seed" is specified. This means that unless you
specify identical seed values, imputations of the same dataset will be different for multiple calls to mice. (Roel de Jong)
FIXED (docs): Documentation for "impute.mean" (Roel de Jong)
FIXED: Function 'summary.mids' now works (Roel de Jong)
FIXED: Imputation function 'impute.polyreg' and 'impute.lda' should now work under R

v1.13
Changed function checkImputationMethod, Feb 6, 2004

v1.12
Maintainance, S-Plus 6.1 and R 1.8 unicode, January 2004

v1.1
R version (with help of Peter Malewski and Frank Harrell), Feb 2001

v1.0
Original S-PLUS release, June 14 2000


