errorlocate (version 1.1.1)

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

344

Version

1.1.1

License

GPL-3

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Repository

https://github.com/data-cleaning/errorlocate

Maintainer

Edwin Jonge

Last Published

September 30th, 2023

Functions in errorlocate (1.1.1)

replace_errors

Replace erroneous fields with NA or a suggested value

is_linear

Check which rules are linear rules.

inspect_mip

inspect the mip problem formulation

expect_values

expect values

translate_mip_lp

translate linear rules into an lp problem

locate_errors

Find errors in data

is_conditional

Check if rules are conditional rules

is_categorical

Check if rules are categorical

cat_as_mip_rules

get categorical rules as mip_rules

errors_removed

Get location of removed errors from a 'cleaned' data set

errorlocation-class

Error location object

add_noise

Add (a small amount of) noise

MipRules-class

Create a mip object from a validator object

errorlocate-package

Find errors in data given a set of validation rules.

FHLocalizer-class

Feligi-Holt Errorlocalizer

ErrorLocalizer-class

Base class for class locate errors based on rules and data

cat_coefficients

Get coefficient matrix from categorical rules

expand_weights

Create a weight matrix

mip_rule

Create a rule used by mip