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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
408
Version
1.1.1
License
GPL-3
Issues
13
Pull Requests
1
Stars
21
Forks
3
Repository
https://github.com/data-cleaning/errorlocate
Maintainer
Edwin Jonge
Last Published
September 30th, 2023
Functions in errorlocate (1.1.1)
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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