Package: callback 0.1.3

Emmanuel Duguet

callback: Computes Statistics from Discrimination Experimental Data

In discrimination experiments candidates are sent on the same test (e.g. job, house rental) and one examines whether they receive the same outcome. The number of non negative answers are first examined in details looking for outcome differences. Then various statistics are computed. This package can also be used for analyzing the results from random experiments.

Authors:Emmanuel Duguet [aut, cre], David Gray [ctb], Loïc du Parquet [dtc], Yannick L'Horty [ctb], Rémi Le Gall [dtc], Noam Léandri [dtc], Pascale Petit [ctb], Florent Sari [ctb]

callback_0.1.3.tar.gz
callback_0.1.3.tar.gz(r-4.5-noble)callback_0.1.3.tar.gz(r-4.4-noble)
callback_0.1.3.tgz(r-4.4-emscripten)callback_0.1.3.tgz(r-4.3-emscripten)
callback.pdf |callback.html✨
callback/json (API)

# Install 'callback' in R:
install.packages('callback', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • address1 - Origin/Gender discrimination and strongly negative mediatic exposure
  • gender1 - Gender/Maternity discrimination
  • gender2 - Gender/Maternity discrimination
  • gender3 - Gender/Maternity discrimination
  • gender4 - Gender/Maternity discrimination
  • inter1 - Gender/Origin discrimination
  • labour1 - Labour market history discrimination
  • labour2 - Labour market history discrimination
  • mobility1 - Gender discrimination and mobility
  • origin1 - Origin discrimination
  • origin2 - Origin discrimination
  • train1 - Training profile impact
  • train2 - Training profile impact

On CRAN:

Conda-Forge:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.78 score 234 downloads 17 exports 28 dependencies

Last updated 3 days agofrom:bccc3eb523. Checks:2 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 03 2025
R-4.5-linuxOKMar 03 2025
R-4.4-linuxNOTEMar 03 2025

Exports:callbackcallback_compg_difpg_ecsg_mcrg_rawg_tcsis.calcregreg_alsstat_colsumsstat_ecsstat_mcrstat_pairedstat_rawstat_signifstat_tcs

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

An R package for discrimination measurement

Emmanuel Duguet

Rendered fromcallback-presentation.Rmdusingknitr::rmarkdownon Mar 03 2025.

Last update: 2025-03-03
Started: 2025-03-03

Callback: Components Models

Emmanuel Duguet

Rendered fromcallback-components-models.Rmdusingknitr::rmarkdownon Mar 03 2025.

Last update: 2025-03-03
Started: 2025-03-03

Readme and manuals

Help Manual

Help pageTopics
Origin/Gender discrimination and strongly negative mediatic exposure (information technologist)address1
Data formattingcallback
Creates the estimation data for a component modelcallback_comp
Difference of proportions plotg_difp
Exclusive callback shares plotg_ecs
Proportions' comparison plotg_mcr
Raw callback rates plotg_raw
Total callback shares plotg_tcs
Gender/Maternity discrimination (commercial and administrative jobs in the financial sector)gender1
Gender/Maternity discrimination (electricians)gender2
Gender/Maternity discrimination (masons)gender3
Gender/Maternity discrimination (plumbers)gender4
Gender/Origin discrimination (software developer)inter1
Computational compatibilityis.calc
Labour market history discrimination (accountants)labour1
Labour market history discrimination (sales assistant)labour2
Gender discrimination and mobility (management controller)mobility1
Origin discrimination (accountants)origin1
Origin discrimination (waiters)origin2
Plots for callback rates and sharesplot.callback_stat
Prints the structure of the experimentprint.callback
Prints the structure of a component modelprint.callback_comp
Prints the components of a component modelprint.callback_reg
Prints the callback proportions analysisprint.callback_stat
Print the callback counts analysisprint.stat_paired
Generic regression functionreg
Asymptotic least squares estimationreg_als
Component model estimationreg.callback_comp
Sums the numeric or logical columns in a data frame.stat_colsums
Exclusive callback sharesstat_ecs
Matched callback ratesstat_mcr
Callback counts on paired datastat_paired
Unmatched callback ratesstat_raw
Significance code of a p-valuestat_signif
Total callback sharesstat_tcs
Prints the regression table of a component modelsummary.callback_reg
Training profile impact (plumbers)train1
Training profile impact (waiters)train2