analyze_in_out_simultaneity |
Analyze relationships between rare events among multiple input and output variables |
boolean_input_df |
Sparse Boolean dataframe with rare variant information and a single outcome variable |
boolean_input_mult_df |
Sparse Boolean dataframe with rare variant information and multiple outcome variables |
compare_enrichment |
Compare the enrichment in combinations of input variables between the binary outcomes (case/control) |
compare_enrichment_depletion |
Compare the enrichment in combinations of input variables between the binary outcomes (case/control) |
compare_enrichment_modifiers |
Compare the enrichment in combinations of input variables between the binary outcomes (case/control) |
compare_expected_vs_observed |
Compare the observed frequencies of combinations with their expected frequencies under the assumption of independence within a single group |
custom_left_join |
Perform successive left joins to fetch information about the constituent elements of the combinations |
input_list |
A list of 50 random input variables |
run_apriori_freqitems |
Generate frequent items using the apriori algorithm |
run_apriori_rules |
Generate rules using the apriori algorithm |
run_apriori_rules_inout_simult |
Generate rules using the apriori algorithm |
run_apriori_rules_modifiers |
Generate rules using the apriori algorithm |
run_apriori_w_sample_names |
Generate frequent items along with the names of supporting observations using the apriori algorithm |