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validatetools (version 0.5.2)

Checking and Simplifying Validation Rule Sets

Description

Rule sets with validation rules may contain redundancies or contradictions. Functions for finding redundancies and problematic rules are provided, given a set a rules formulated with 'validate'.

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Install

install.packages('validatetools')

Monthly Downloads

205

Version

0.5.2

License

MIT + file LICENSE

Issues

5

Pull Requests

0

Stars

16

Forks

3

Maintainer

Edwin Jonge

Last Published

September 30th, 2023

Functions in validatetools (0.5.2)

validatetools

Tools for validation rules
is_linear

Check which rules are linear rules.
translate_mip_lp

translate linear rules into an lp problem
substitute_values

substitute a value in a rule set
detect_boundary_cat

Detect viable domains for categorical variables
expect_values

expect values
is_categorical

Check if rules are categorical
detect_boundary_num

Detect the range for numerical variables
detect_redundancy

Detect redundant rules without removing.
detect_infeasible_rules

Detect which rules cause infeasibility
detect_fixed_variables

Detect fixed variables
simplify_conditional

Simplify conditional statements
remove_redundancy

Remove redundant rules
make_feasible

Make an infeasible system feasible.
cat_coefficients

Get coefficient matrix from categorical rules
is_contradicted_by

Find out which rules are conflicting
is_implied_by

Find which rule(s) make rule_name redundant
is_conditional

Check if rules are conditional rules
cat_as_mip_rules

get categorical rules as mip_rules
is_infeasible

Check the feasibility of a rule set
mip_rule

Create a rule used by mip
simplify_rules

Simplify a rule set
simplify_fixed_variables

Simplify fixed variables