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 |