detect_infeasible_rules: Detect which rules cause infeasibility

In validatetools: Checking and Simplifying Validation Rule Sets

Detect which rules cause infeasibility

Description

Detect which rules cause infeasibility. This methods tries to remove the minimum number of rules to make the system mathematically feasible. Note that this may not result in your desired system, because some rules may be more important to you than others. This can be mitigated by supplying weights for the rules. Default weight is 1.

Usage

detect_infeasible_rules(x, weight = numeric(), ...)

Arguments

x	validator object with rules
weight	optional named numeric with weights. Unnamed variables in the weight are given the default weight 1.
...	not used

Value

character with the names of the rules that are causing infeasibility.

See Also

Other feasibility: detect_boundary_cat(), detect_boundary_num(), is_contradicted_by(), is_infeasible(), make_feasible()

Examples

rules <- validator( x > 0)

is_infeasible(rules)

rules <- validator( rule1 = x > 0
                  , rule2 = x < 0
                  )

is_infeasible(rules)

detect_infeasible_rules(rules)
make_feasible(rules)

# find out the conflict with this rule
is_contradicted_by(rules, "rule1")

validatetools documentation built on Oct. 1, 2023, 1:06 a.m.