Package: estimatr 1.0.4

Graeme Blair

estimatr: Fast Estimators for Design-Based Inference

Fast procedures for small set of commonly-used, design-appropriate estimators with robust standard errors and confidence intervals. Includes estimators for linear regression, instrumental variables regression, difference-in-means, Horvitz-Thompson estimation, and regression improving precision of experimental estimates by interacting treatment with centered pre-treatment covariates introduced by Lin (2013) <doi:10.1214/12-AOAS583>.

Authors:Graeme Blair [aut, cre], Jasper Cooper [aut], Alexander Coppock [aut], Macartan Humphreys [aut], Luke Sonnet [aut], Neal Fultz [ctb], Lily Medina [ctb], Russell Lenth [ctb]

estimatr_1.0.4.tar.gz
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estimatr_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
estimatr/json (API)

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

Bug tracker:https://github.com/declaredesign/estimatr/issues

Pkgdown/docs site:https://declaredesign.org

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

11.82 score 135 stars 19 packages 3.3k scripts 12k downloads 3 mentions 16 exports 5 dependencies

Last updated from:10a18f124e. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK174
linux-devel-x86_64OK184
source / vignettesOK237
linux-release-arm64OK180
linux-release-x86_64OK211
macos-release-arm64OK271
macos-release-x86_64OK293
macos-oldrel-arm64OK201
macos-oldrel-x86_64OK378
windows-devel-x86_64OK180
windows-release-x86_64OK162
windows-oldrel-x86_64OK188
wasm-releaseOK145

Exports:commarobustdeclaration_to_condition_pr_matdifference_in_meansextract.iv_robustextract.lm_robustgen_pr_matrix_clusterglancehorvitz_thompsoniv_robustlh_robustlm_linlm_robustlm_robust_fitpermutations_to_condition_pr_matstarpreptidy

Dependencies:FormulagenericsRcppRcppEigenrlang