Package: randomForestSRC
Version: 1.6.0
BUILD: bld20150105

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CHANGES TO RELEASE 1.6.0
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RELEASE 1.6.0
Bug fix to duplicating missingness protocol when restoring a forest.
Added fast.restore option to grow call.  Change to pass through
xvar.wt as entered by user. RAM profile reduction in vimp().  Added
versioning checks of forest object, thanks to suggestions by John
Ehrlinger.  Bug fix to allow logical responses, treated as reals. User
trace functionality restored.

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RELEASE 1.5.5
Bug fix to daughter assignment in classification.  Significant RAM
optimization in all modes.

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RELEASE 1.5.4
Addition of new function stat.split() for extracting information from
tree node splitting-statistics.  Added more functionality to
rfsrcSyn() for fitting synthetic random forests.

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RELEASE 1.5.3
Addition of rfsrcSyn() function to grow a synthetic random forest (RF)
using RF machines as synthetic features.  Applies only to regression
and classification settings.  Used for prediction only.

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RELEASE 1.5.2
Fix to non-standard GCC errors and warnings.  Fix to bug in split
rules related to omission of missing individuals in the split
statistic.  Minor R-side fixes.

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RELEASE 1.5.1
Fix to UBSAN warnings.  Implementation of new RG protocols.

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RELEASE 1.5.0
Significant improvements to CPU and RAM usage profiles in serial and
OpenMP modes of execution.  Proximity options allow inbag, OOB and all.
VIMP implements subsetting and conditional variable importance. NA
options allow the split statistic to be based on non-missing values
only.  In addition it allows random assignment of missing values.

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RELEASE 1.4.0
Modification of terminal node imputation protocol.  We now assign all
individuals the same value rather than sampling from the distribution.
Implementation of split.null option.  Implementation of unsupervised
splitting for missing data in impute.rfsrc().  Modification of nimpute
> 1 protocols.  In-bag, OOB, and all now depend on the mode.
Reduction in impute memory footprint.  Modification of proximity
option to allow in-bag, OOB, and all.  Fixed bug in predict involving
manual formula calls.  Fixed bug in find.interaction involving
specifying covariate names.  Changes relating to Undefined Behaviour
Sanitizer.

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RELEASE 1.3.0

Initial re-engineering of memory footprint for imputation.
Performance enhancements to split rules.

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RELEASE 1.2.0

Competing risks now implements two distinct splitting rules for
identifying short term risks affecting the cause-specific hazard or
long term predictions affecting the cumulative incidence function. The
plot.variable function now returns, and can reuse, a plot.variable
data structure object for user convenience. Thanks to John Ehrlinger
for this improvement. Other minor bug fixes, and enhancements.

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RELEASE 1.1.0
OpenMP performance enhancements to ensemble and variable importance calculations.

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RELEASE 1.0.2
Fix to [S] missingness check when all status are non-censored.
Fix to [S] summary imputation of time.
Fix to variables used all.trees output.
Fix to manual formula interface.
Removed big.data option.
Added ntime option for survival families.

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RELEASE 1.0.1
Replaced 'suggests multicore' with 'depends parallel'.  Followed
protocol in parallel package for controlling number of cores, via
options(), and environment variables.  Reduced [S] memory footprint by
prematurely de-allocating terminal node information.

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RELEASE 1.0.0 represents the first release of the
package.  Please report bugs to commerce@kogalur.com

