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errorlocate (version 1.1.2)

Locate Errors with Validation Rules

Description

Errors in data can be located and removed using validation rules from package 'validate'. See also Van der Loo and De Jonge (2018) , chapter 7.

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Install

install.packages('errorlocate')

Monthly Downloads

413

Version

1.1.2

License

GPL-3

Issues

13

Pull Requests

1

Stars

22

Forks

3

Maintainer

Edwin Jonge

Last Published

July 23rd, 2025

Functions in errorlocate (1.1.2)

is_categorical

Check if rules are categorical
is_conditional

Check if rules are conditional rules
add_noise

Add (a small amount of) noise
cat_as_mip_rules

get categorical rules as mip_rules
errorlocate-package

Find errors in data given a set of validation rules.
expand_weights

Create a weight matrix
MipRules-class

Create a mip object from a validator object
errors_removed

Get location of removed errors from a 'cleaned' data set
ErrorLocalizer-class

Base class for class locate errors based on rules and data
errorlocation-class

Error location object
FHLocalizer-class

Feligi-Holt Errorlocalizer
replace_errors

Replace erroneous fields with NA or a suggested value
inspect_mip

inspect the mip problem formulation
cat_coefficients

Get coefficient matrix from categorical rules
mip_rule

Create a rule used by mip
is_linear

Check which rules are linear rules.
locate_errors

Find errors in data
expect_values

expect values
translate_mip_lp

translate linear rules into an lp problem