sortinghat 0.1

• Initial release of sortinghat

New Features

• Simulated data sets and configurations are each available in functions
  prefaced with simdata_. The simdata function is a wrapper around each of
  these. See ?simdata for a list of all the available simulated data sets and
  the implementation details.
• Several error-rate estimators are available, including cross-validation, .632,
  .632+, and others. The name of each estimator's function is prefaced with
  errorest_. Also, errorest is a wrapper function around the error-rate
  estimators implemented. See ?errorest for a list of all available error-rate
  estimators and the implementation details.

Miscellaneous

• cv_partition: Partitions data for cross-validation.
• partition_data: Randomly partitions data sets into training and test data
  sets with a specified percentage in each.
• which_min: Determines the index (location) of the minimum element in a
  vector. Breaks ties in a variety of ways -- in particular, at random. This
  function is intended to replace the base which.min function.
• cov_intraclass: Constructs a p-dimensional intraclass covariance matrix.
• cov_autocorrelation: Constructs a p-dimensional covariance matrix with an
  autocorrelation structure.
• cov_block_autocorrelation: Constructs a p-dimensional block-diagonal
  covariance matrix with autocorrelated blocks. Based on Guo, Hastie, and
  Tibshirani (2007).