NEWS.md

In sortinghat: sortinghat

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).

sortinghat documentation built on May 30, 2017, 4:52 a.m.