apply_levels            Converts the column factor levels in 'df' to
                        those in 'df_reference'
argument_match_test     Test function with non-matching arguments
capitalize_first        Capitalize the first letter of a word
classification_model    Generic function for creating a classification
                        model
create_and_run_test     Create test and run it
createtest              Create a classification or regression test case
crtests                 crtests: A package for creating and executing
                        classification and regression tests
drop_na                 Remove NAs according to a strategy
evaluate                Evaluate the performance of a prediction.
evaluate_problem        Generic function for evaluation of test results
evaluation              Create an evaluation object
extract_formula         Extract a formula from a test
factor_length           Determine the length of the factors in a
                        data.frame
group_levels            Group infrequent levels in 'data', either a
                        factor or a data.frame
group_levels.default    Group infrequent factor levels
is_complete_row         Determine if the rows in a data.frame have NAs
make_predictions        Make predictions using a model Generic function
                        for testing a model by making predictions
method_prepare          Method-specific data preparation
multisample             Make multiple samples of data
multitest               Create and run multiple instances of a test
multitest_evaluation    Create an evaluation of multiple tests
na_count                Count the number of NAs in an object
prepare                 Prepare the data for the specified test.
prepare_data            Prepare data for training or testing.
print.evaluation        Print an 'evaluation' object
print.multitest_evaluation
                        Print a multitest_evaluation
print.multitest_evaluation.summary
                        Print a multitest_evaluation.summary object
random_string           Generate a random string
regression_model        Fit a regression model Generic function for
                        fitting a regression model
remove_names            Set any names of x to ""
replace_names           Replace strings in the names of an object
runtest                 Run a classification or regression test
summary.evaluation      Summary of an evaluation
summary.multitest_evaluation
                        Make a summary of multiple test evaluations
train_model             Train a classification or regression model
util                    Utility functions
