validatetools is a utility package for managing validation rule sets
that are defined with validate::validate(). In production systems
validation rule sets tend to grow organically and accumulate redundant or
(partially) contradictory rules. validatetools helps to identify problems
with large rule sets and includes simplification methods for resolving
issues.
The following methods allow for problem detection:
is_infeasible() checks a rule set for feasibility. An infeasible system must be corrected to be useful.
detect_boundary_num() shows for each numerical variable the allowed range of values.
detect_boundary_cat() shows for each categorical variable the allowed range of values.
detect_fixed_variables() shows variables whose value is fixated by the rule set.
detect_redundancy() shows which rules are already implied by other rules.
The following methods detect possible simplifications and apply them to a rule set.
substitute_values(): replace variables with constants.
simplify_fixed_variables(): substitute the fixed variables with their values in a rule set.
simplify_conditional(): remove redundant (parts of) conditional rules.
remove_redundancy(): remove redundant rules.
Statistical Data Cleaning with Applications in R, Mark van der Loo and Edwin de Jonge, ISBN: 978-1-118-89715-7
Useful links: