Package: hettx 0.1.3

hettx: Fisherian and Neymanian Methods for Detecting and Measuring Treatment Effect Variation

Implements methods developed by Ding, Feller, and Miratrix (2016) <doi:10.1111/rssb.12124> <arxiv:1412.5000>, and Ding, Feller, and Miratrix (2018) <doi:10.1080/01621459.2017.1407322> <arxiv:1605.06566> for testing whether there is unexplained variation in treatment effects across observations, and for characterizing the extent of the explained and unexplained variation in treatment effects. The package includes wrapper functions implementing the proposed methods, as well as helper functions for analyzing and visualizing the results of the test.

Authors:Peng Ding [aut], Avi Feller [aut], Ben Fifield [aut, cre], Luke Miratrix [aut]

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hettx.pdf |hettx.html✨
hettx/json (API)

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

Bug tracker:https://github.com/bfifield/hettx/issues

Datasets:

On CRAN:

Conda:

5.32 score 10 stars 21 scripts 250 downloads 24 exports 50 dependencies

Last updated 2 years agofrom:fe19452cd9. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-winOKMar 11 2025
R-4.5-macOKMar 11 2025
R-4.5-linuxOKMar 11 2025
R-4.4-winOKMar 11 2025
R-4.4-macOKMar 11 2025
R-4.4-linuxOKMar 11 2025
R-4.3-winOKMar 11 2025
R-4.3-macOKMar 11 2025

Exports:detect_idiosyncraticestimate_systematicget.p.valueKS.statmake.linear.datamake.quadradic.datamake.randomized.compliance.datmake.randomized.datmake.skew.dataR2rq.statrq.stat.cond.covrq.stat.uncond.covSESKS.pool.tSKS.statSKS.stat.covSKS.stat.cov.poolSKS.stat.cov.rqSKS.stat.int.covSKS.stat.int.cov.pooltest.stat.infovariance.ratio.testWSKS.t

Dependencies:clicodetoolscolorspacecpp11doParalleldplyrfansifarverforeachformula.toolsgenericsggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmgcvmomentsmunsellmvtnormnlmeoperator.toolspillarpkgconfigplyrpurrrquantregR6RColorBrewerRcpprlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr

detect_idiosyncratic() Tutorial

Bertling, M., Ding, P., Feller, A., and Miratrix, L.

Rendered fromdetect_idiosyncratic_vignette.Rmdusingknitr::rmarkdownon Mar 11 2025.

Last update: 2023-02-16
Started: 2019-01-21

Tutorial on Systematic Treatment Detection

Ding, P., Feller, A., and Miratrix, L.

Rendered fromestimate_systematic_vignette.Rmdusingknitr::rmarkdownon Mar 11 2025.

Last update: 2019-02-08
Started: 2019-01-21