run_apriori_rules_inout_simult {RareComb}

Generate rules using the apriori algorithm

Description

This function takes in a factorized Boolean matrix and generate rules that meet all the user provided criteria while allowing the outcome variables to be part of either LHS or RHS of the rules but restricting the input variables to the LHS of the rules.

Usage

run_apriori_rules_inout_simult(
  apriori_input_df,
  combo_length,
  support_threshold,
  input_colname_list,
  output_colname_list = output_colname_list
)

Arguments

apriori_input_df

An input factorized Boolean dataframe with multiple input and outcome variables

combo_length

The length of the combinations specified by the user

support_threshold

Minimum support value calculated based on the minimum absolute observed frequency threshold specified by the user

input_colname_list

A list of column names that identify the input variables

output_colname_list

Optional | A list of column names that identify the outcome variables

Details

This is a function leveraged by few of the four main methods available to the users.

Value

A list of rules that meet all the constraints supplied to the apriori algorithm

Author(s)

Vijay Kumar Pounraja