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Problems found locating distfiles:
Package dfftpack: missing distfile dfftpack-20001209.tar.gz
Package eispack: missing distfile eispack-20001130.tar.gz
Package fftpack: missing distfile fftpack-20001130.tar.gz
Package linpack: missing distfile linpack-20010510.tar.gz
Package minpack: missing distfile minpack-20001130.tar.gz
Package odepack: missing distfile odepack-20001130.tar.gz
Package py-networkx: missing distfile networkx-1.10.tar.gz
Package py-sympy: missing distfile sympy-0.7.6.1.tar.gz
Package quadpack: missing distfile quadpack-20001130.tar.gz
Otherwise, existing SHA1 digests verified and found to be the same on
the machine holding the existing distfiles (morden). All existing
SHA1 digests retained for now as an audit trail.
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Upstream changes:
Changes in 4.6-10:
* Fixed bugs introduced in 4.6-8 and 4.6-9. Levels for ordered factors
in predictors are no longer checked for consistency between training
and test data in predict.randomForest(). In 4.6-9 the response is mean
centered before running the algorithm (for regression), but the mean was
not added back in the $y component of the return object from
randomForest().
Changes in 4.6-9:
* Categorical predictors are allowed to have up to 53 categories now.
Changes in 4.6-8:
* There was a bug in the handling of ordered factors in randomForest.formula().
(Reported by Barry Rawlingson.)
* Changed randomForest.formula() and predict.randomForest() so that
predict() without newdata when na.action=na.exclude pads the output
with NAs to match the rows in the original data (suggested by Barry
Rawlingson.).
* There was a long standing bug in randomForest(..., proximity=TRUE, oob.prox=FALSE)
in regression mode. (Thanks to Stefano Romano for the report.)
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No upstream changelog.
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No PKGREVISION bump as either this is unchanged or didn't previously build
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"fortran" is alias of "fortran77" for now, but it will change later.
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