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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

369

Version

1.1.1

License

GPL-3

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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