Locate Errors with Validation Rules
Add (a small amount of) noise
get categorical rules as mip_rules
Get coefficient matrix from categorical rules
Base class for class locate errors based on rules and data
Find errors in data given a set of validation rules.
Error location object
Get location of removed errors from a 'cleaned' data set
Create a weight matrix
expect values
Feligi-Holt Errorlocalizer
inspect the mip problem formulation
Check if rules are categorical
Check if rules are conditional rules
Check which rules are linear rules.
Find errors in data
Create a rule used by mip
Create a mip object from a validator object
Replace erroneous fields with NA or a suggested value
translate linear rules into an lp problem
Errors in data can be located and removed using validation rules from package 'validate'. See also Van der Loo and De Jonge (2018) <doi:10.1002/9781118897126>, chapter 7.
Useful links