sortinghat

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Documentation for package ‘sortinghat’ version 0.1

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all_equal Function to check whether all elements in a numeric vector are equal within some tolerance
check_arguments Checks the arguments passed to the error rate estimator functions.
cov_autocorrelation Constructs a p-dimensional covariance matrix with an autocorrelation (autoregressive) structure.
cov_block_autocorrelation Generates a p-dimensional block-diagonal covariance matrix with autocorrelated blocks.
cov_intraclass Constructs a p-dimensional intraclass covariance matrix.
cv_partition Partitions data for cross-validation.
errorest Wrapper function to estimate the error rate of a classifier
errorest_632 Calculates the .632 Error Rate for a specified classifier given a data set.
errorest_632plus Calculates the .632+ Error Rate for a specified classifier given a data set.
errorest_apparent Calculates the Apparent Error Rate for a specified classifier given a data set.
errorest_bcv Calculates the Bootstrap Cross-Validation (BCV) Error Rate Estimator for a specified classifier given a data set.
errorest_boot Calculates the Bootstrap Error Rate for a specified classifier given a data set.
errorest_cv Calculates the Cross-Validation Error Rate for a specified classifier given a data set.
errorest_loo_boot Calculates the Leave-One-Out (LOO) Bootstrap Error Rate for a specified classifier given a data set.
partition_data Helper function that partitions a data set into training and test data sets.
simdata Wrapper function to generate data from a variety of data-generating families for classification studies.
simdata_contaminated Generates random variates from K multivariate contaminated normal populations.
simdata_friedman Generates data from 3 multivariate normal data populations having the covariance structure from Friedman (1989).
simdata_guo Generates data from 'K' multivariate normal data populations having the covariance structure from Guo et al. (2007).
simdata_normal Generates random variates from K multivariate normal populations.
simdata_t Generates random variates from K multivariate Student's t populations.
simdata_uniform Generates random variates from multivariate uniform populations.
sortinghat sortinghat
which_min Helper function that determines which element in a vector is the minimum. Ties can be broken randomly or via first/last ordering.