Package: sreg 1.0.0.9000

sreg: Stratified Randomized Experiments

Estimate average treatment effects (ATEs) in stratified randomized experiments. 'sreg' is designed to accommodate scenarios with multiple treatments and cluster-level treatment assignments, and accommodates optimal linear covariate adjustment based on baseline observable characteristics. 'sreg' computes estimators and standard errors based on Bugni, Canay, Shaikh (2018) <doi:10.1080/01621459.2017.1375934>; Bugni, Canay, Shaikh, Tabord-Meehan (2024+) <doi:10.48550/arXiv.2204.08356>; and Jiang, Linton, Tang, Zhang (2023+) <doi:10.48550/arXiv.2201.13004>.

Authors:Juri Trifonov [aut, cre, cph], Yuehao Bai [aut], Azeem Shaikh [aut], Max Tabord-Meehan [aut]

sreg_1.0.0.9000.tar.gz
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sreg_1.0.0.9000.tgz(r-4.4-any)sreg_1.0.0.9000.tgz(r-4.3-any)
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sreg.pdf |sreg.html
sreg/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/jutrifonov/sreg/issues

Datasets:
  • AEJapp - Replication data for: Iron Deficiency and Schooling Attainment in Peru

On CRAN:

5.10 score 1 stars 3 scripts 409 downloads 2 exports 23 dependencies

Last updated 1 months agofrom:7e9349a081. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winWARNINGOct 31 2024
R-4.5-linuxWARNINGOct 31 2024
R-4.4-winWARNINGOct 31 2024
R-4.4-macWARNINGOct 31 2024
R-4.3-winWARNINGOct 31 2024
R-4.3-macWARNINGOct 31 2024

Exports:sregsreg.rgen

Dependencies:clicpp11dplyrextraDistrfansigenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6Rcpprlangstringistringrtibbletidyrtidyselectutf8vctrswithr

Intro to sreg

Rendered fromintro-to-sreg.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2024-06-20
Started: 2024-05-08