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| crtests-package | crtests: A package for creating and executing classification and regression tests |
| 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 |
| classification_model.boosting | Generic function for creating a classification model |
| classification_model.default | Generic function for creating a classification model |
| classification_model.rpart | Generic function for creating a classification model |
| createtest | Create a classification or regression test case |
| create_and_run_test | Create test and run it |
| 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 |
| evaluate_problem.classification | Generic function for evaluation of test results |
| evaluate_problem.regression | 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.data.frame | Group infrequent levels in 'data', either a factor or a data.frame |
| group_levels.default | Group infrequent factor levels |
| group_levels.factor | Group infrequent levels in 'data', either a factor or a data.frame |
| group_levels.list | Group infrequent levels in 'data', either a factor or a data.frame |
| 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 |
| make_predictions.boosting | Make predictions using a model Generic function for testing a model by making predictions |
| make_predictions.default | Make predictions using a model Generic function for testing a model by making predictions |
| make_predictions.gbm | Make predictions using a model Generic function for testing a model by making predictions |
| make_predictions.rpart | Make predictions using a model Generic function for testing a model by making predictions |
| method_prepare | Method-specific data preparation |
| method_prepare.default | Method-specific data preparation |
| method_prepare.randomForest | Method-specific data preparation |
| missing_argument_test | Utility functions |
| multisample | Make multiple samples of data |
| multisample.cross_fold | Make multiple samples of data |
| multisample.random | 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 |
| na_count.data.frame | Count the number of NAs in an object |
| na_count.default | Count the number of NAs in an object |
| prepare | Prepare the data for the specified test. |
| prepare.default | 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 |
| regression_model.default | Fit a regression model Generic function for fitting a regression model |
| remove_names | Set any names of x to "" |
| remove_names.matrix | Set any names of x to "" |
| replace_names | Replace strings in the names of an object |
| replace_names.data.frame | Replace strings in the names of an object |
| replace_names.default | Replace strings in the names of an object |
| replace_names.matrix | Replace strings in the names of an object |
| runtest | Run a classification or regression test |
| runtest.default | 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 |
| train_model.classification | Train a classification or regression model |
| train_model.regression | Train a classification or regression model |
| util | Utility functions |