Package: qte 1.4.0

qte: Quantile Treatment Effects

Provides several methods for computing the Quantile Treatment Effect (QTE) and Quantile Treatment Effect on the Treated (QTT). The main cases covered are (i) Treatment is randomly assigned, (ii) Treatment is as good as randomly assigned after conditioning on some covariates (also called conditional independence or selection on observables) using the methods developed in Firpo (2007) <doi:10.1111/j.1468-0262.2007.00738.x>, (iii) Identification is based on a Difference in Differences assumption (several varieties are available in the package e.g. Athey and Imbens (2006) <doi:10.1111/j.1468-0262.2006.00668.x> Callaway and Li (2019) <doi:10.3982/QE935>, Callaway, Li, and Oka (2018) <doi:10.1016/j.jeconom.2018.06.008>).

Authors:Brantly Callaway [aut, cre]

qte_1.4.0.tar.gz
qte_1.4.0.zip(r-4.5)qte_1.4.0.zip(r-4.4)qte_1.4.0.zip(r-4.3)
qte_1.4.0.tgz(r-4.5-any)qte_1.4.0.tgz(r-4.4-any)qte_1.4.0.tgz(r-4.3-any)
qte_1.4.0.tar.gz(r-4.5-noble)qte_1.4.0.tar.gz(r-4.4-noble)
qte_1.4.0.tgz(r-4.4-emscripten)qte_1.4.0.tgz(r-4.3-emscripten)
qte.pdf |qte.html✨
qte/json (API)
NEWS

# Install 'qte' in R:
install.packages('qte', repos = c('https://bcallaway11.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bcallaway11/qte/issues

Datasets:

On CRAN:

Conda:

5.87 score 9 stars 55 scripts 347 downloads 25 exports 121 dependencies

Last updated 11 months agofrom:a1c4e94044. Checks:1 OK, 8 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 26 2025
R-4.5-winWARNINGMar 26 2025
R-4.5-macWARNINGMar 26 2025
R-4.5-linuxWARNINGMar 26 2025
R-4.4-winWARNINGMar 26 2025
R-4.4-macWARNINGMar 26 2025
R-4.4-linuxWARNINGMar 26 2025
R-4.3-winWARNINGMar 26 2025
R-4.3-macWARNINGMar 26 2025

Exports:boundsci.qteci.qtetCiCcic_attgtcic2compute.CiCcompute.ddid2compute.panel.qtetcompute.QDiDcomputeDiffSEddid2diffQDRggqteMDiDpanel.checkspanel.qtetpanelize.dataQDiDQTEQTEparamsqtes2matsetupDataspatt

Dependencies:askpassbackportsbase64encBMiscbslibcachemcaretcheckmateclasscliclockclustercodetoolscolorspacecpp11curldata.tablediagramdigestdplyre1071evaluatefansifarverfastmapfontawesomeforeachforeignFormulaformula.toolsfsfuturefuture.applygenericsggplot2globalsgluegowergridExtragtablehardhathighrHmischtmlTablehtmltoolshtmlwidgetshttripredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixMatrixModelsmemoisemgcvmimeModelMetricsmunsellnlmennetnumDerivopenssloperator.toolsparallellypbapplypillarpkgconfigplyrpROCprodlimprogressrproxypurrrquantregR6rappdirsRColorBrewerRcppRcppArmadillorecipesreshape2rlangrmarkdownrpartrstudioapisassscalesshapeSparseMsparsevctrsSQUAREMstringistringrsurvivalsystexregtibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsviridisviridisLitewithrxfunyaml

ddid2

Brantly Callaway

Rendered fromddid2.Rmdusingknitr::rmarkdownon Mar 26 2025.

Last update: 2022-07-20
Started: 2017-02-01

panel.qtet

Brantly Callaway

Rendered frompanel-qtet.Rmdusingknitr::rmarkdownon Mar 26 2025.

Last update: 2022-07-20
Started: 2017-01-27

Quantile Treatment Effects in R: The qte Package

Brantly Callaway

Rendered fromR-QTEs.Rmdusingknitr::rmarkdownon Mar 26 2025.

Last update: 2022-07-28
Started: 2017-01-27