Combinatorial and Statistical Analyses of Rare Events

Documentation for package ‘RareComb’ version 1.1

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