Changes in version 1.0-20:

* Added varSelection() to aid in variable selection. A plot function is 
include to aid in understanding the results; bestVars() returns what seem to be
a set of "best" variables for objects created by varSelection().
* Added grmsd() to compute a generalized root mean square error which is a Mahalanobis
distance between observed and imputed. Provides a single score useful for ranking
imputation models and methods (or returns vectors of distances).
* Added rmsd(); it is an alias to rmsd.yai().
* Added method="median" to function impute.
* Added method="msnPP" to function yai to enable using canonical correlation via 
projection pursuit from package ccaPP
* Added ensembleImpute() to get an mean or median imputation for several
separate imputations. Computes the mode for factors.
* Added John Coulston as an author on some of the new functions.
* Added bootstrap= option to yai() so that reference observations can 
be sampled with replacement forming a bootstrap rep.
* Added sampleVars= option to yai() so that X-, Y- or both kinds of variables
can be sampled.
* Added buildConsensus() to find a consensus imputation over several 
reps and forming one yai object. 
* Added (at long last) a predict function.
* Added the ability to specify the scaling values for rmsd.yai and compare.yai
* Modified some help files to improve acknowledgments and cross references.
* Fixed a small typographical error in the help for correctBias(), accomplished 
minor edits to other help files. 
* Added the ability to specify k in function newtargets (how did I miss that?).
* Changed the variable importance score calculation for yaiVarImp()
from "MeanDecreaseGini" to "MeanDecreaseAccuracy" and made it clear in the help file.
* Added function applyMask() that removes (or keeps) reference neighbors that share 
group membership with a target. Thanks to Clara Antón Fernández for suggestions that
lead to this function being added.
* Small update to the COPYRIGHTS file to make clear that Andrew O. Finley wrote
annImpute.cpp

Changes in version 1.0-19:

* Moved COPYRIGHTS to inst/COPYRIGHTS and greatly added detailed information 
to the file.
* Modified DESCRIPTION to note contribution of the authors of ANN (as per 
CRAN policy).
* Added a Copyright statement to DESCRIPTION.  
* Added detail to the Description statement in file DESCRIPTION.
* Fixed print.yai.R error when there is only one target and K>1.
* Modified the file handling in AsciiGridPredict (and AsciiGridImpute).
* Fixed a case where a reference picks itself as the second most similar neighbor. This only
happens when there are two or more identical reference observations (thanks to Petteri Packalen).
* Further revision to the ftest to deal with degenerate cases and put in a trap on the use
of method="msn2" when there are too few observations.

Changes in version 1.0-18:

* Added a function (notablyDifferent) to use a consistent method to identify 
observations with large error. 
* Added an function to (plot.notablyDifferent) to plot the data from notablyDifferent().
* Modified the ftest in yai() so that it correctly computes the number of canonical variates.

Changes in version 1.0-17:

* Replaced deprecated calls to sd(<matrix>|<data.frame>) and mean(<matrix>|<data.frame>) with apply().
* Commented out use of cout in ANN routines.
* Added a function (correctBias) to check for bias and correct it by finding different neighbors.
* Added an option to notablyDistant() to compute the threshold using quantile().
* Changed Crookston's email address.

Changes in version 1.0-16:

* Fixed and moved this news files.
* Fixed long standing error in the way Mahalanobis distances are computed
(thanks to Petteri Packalen)
* Fixed the use of "useid" in AsciiGridImpute and modified the help pages
to make it more clear.
* Removed the provisional use of a modified versions of randomForest.default as
the stock version meets the needs. Also removed, for the same reason, a 
modified version predict.cca.
* Removed the long-deprecated "addXlevels" as it is no longer needed with newer 
versions of randomForest.

Changes in version 1.0-15:

* The update to ANN headers were reapplied.

Changes in version 1.0-14:

* Fixed typos in yai.Rd
* Added to the ability to pick neighbors at random among 1:k nearest in
  function foruse().
* Updated ANN headers for newer gcc

Changes in version 1.0-13:

* Bug fix in unionDataJoin that effects non-yaImpute uses of this function
* Fixed AsciiGridImpute to better deal with NA's generated when ancillary
  data are being mapped.
* Fixed errorStats to deal with case where rmsd can not be computed due
  to missing data.
* Added drop=FALSE to deal with case where only one variable is left in
  the computations of rmsd after variables with no observed values are removed.
* Fixed some problems in the customized version of randomForest.default to
  comply with current R coding standards.
* Same as above for yaiRFSummary.

Changes in version 1.0-12:

* Not listed.

Changes in version 1.0-11:

* Not listed.

Changes in version 1.0-10:

* Not listed.

Changes in version 1.0-9:

* This NEWS file was started, prior changes were not logged.
* Fixed error in AsciiGridImpute/AsciiGridPredict when lon/lat argument
is used.
* Improved the help file for AsciiGridImpute/AsciiGridPredict.


