![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
| sortinghat-package | sortinghat |
| 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. |