Log message:
Update HOMEPAGE.

Log message:
Update to 1.6.7

Upstream changes:
Changes in version 1.6-7

    fix some bug in handling weights in svm.default

Changes in version 1.6-6

    fix numeric issue in classAgreement()

    add functions from recommended packages to NAMESPACE

    fix bug in svm.default (incorrect handling of subset= argument)

    fix bug in predict.svm (new data with NA in response got removed)

    residuals are now correctly computed for regression in case of scaled data

Changes in version 1.6-5

    hamming.distance() no longer converts input to binary

    tune() now uses mean() to aggregate error measures from cross-fold replications

Changes in version 1.6-4

    remove library("SparseM") statements in code, use namespace \ 
semantics instead

    Fix memory leak and uninitialized read error in write.svm()

    add warning in predict.svm() if probabilities should be predicted, but the \ 
model was not trained with probability = TRUE

    add eps to laplace smoothing in predict.naiveBayes() to account for \ 
close-zero probabilities also.

    use R's random number generator for cross-validation and probability \ 
computation instead of the system one.

Changes in version 1.6-3

    remove require() statements and dependency on stats

Changes in version 1.6-2

    vignettes moved to vignettes folder.

    libsvm upgrade to version 3.17, getting rid of stdout and stderr

Log message:
Add SHA512 digests for distfiles for math category

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.

Log message:
Update to 1.6.1

Upstream changes:
Changes in version 1.6-1

write.matrix.csr() now accepts a fac argument similar to read.matrix.csr(), \ 
writing factor levels instead of the numeric codes.

naiveBayes() uses a numerically more stable formula for calculating the \ 
a-posterior probabilities.

predict.naiveBayes() now accepts data with predictors in an order different from \ 
the training data, and also ignores variables not in the model (especially the \ 
response variable).

svm() checks whether parameters which are passed to the C-code are set to NULL \ 
to avoid segfaults.

Log message:
Update to e1071 v1.6, add LICENSE and regularize package files.

Log message:
Changes 2.11.1:

* R CMD INSTALL checks if dependent packages are available early on
* in the installation of source packages, thereby giving clearer
  error messages.
* R CMD INSTALL --build now names the file in the format used
  for Mac OS X binary files on that platform.
* BIC() in package stats4 now also works with multiple fitted models,
  analogously to AIC().
* Use of file extension .C for C++ code in packages is now
  deprecated: it has caused problems for some 'make's on
  case-insensitive file systems (although it currently works
  with the recommended toolkits).
* The C function mkCharLenCE now no longer reads past 'len' bytes
  (unlikely to be a problem except in user code).
* On systems without any default LD_LIBRARY_PATH (not even
  /usr/local/lib), [DY]LIB_LIBRARY_PATH is now set without a trailing colon.
* More efficient utf8ToInt() on long multi-byte strings with
  many multi-byte characters.
* aggregate.ts() gave platform-depedent results due to rounding
  error for ndeltat != 1.
* package.skeleton() sometimes failed to fix filenames for .R or
  .Rd files to start with an alphanumeric.

Log message:
Functions for latent class analysis, short time Fourier transform, fuzzy
clustering, support vector machines, shortest path computation, bagged
clustering, naive Bayes classifier, ...