Package: MetaStudies 0.1.0
MetaStudies: Shiny app and function for Meta studies following Andrews and Kasy (2019).
This package mainly consists of Maximilan Kasy's code of his shiny app for MetaStudies on publication bias. I added some stuff, rewrote it a bit and put everything into an R package. The original code is here: https://github.com/maxkasy/MetaStudiesApp The code is based on Andrews and Kasy (2019). In particular, I added code to run misspecification tests that will be explained in Kranz and Pütz (2021). References: - Andrews, Isaiah and Maximilian Kasy. 2019. “Identification of and correction for publication bias.” American Economic Review 109 (8): 2766-94. - Kranz, Sebastian and Peter Pütz. 2021 “Rounding and other pitfalls in meta-studies on p-hacking and publication bias. A comment on Brodeur et al. (2020)”, working paper.
Authors:
MetaStudies_0.1.0.tar.gz
MetaStudies_0.1.0.zip(r-4.5)MetaStudies_0.1.0.zip(r-4.4)MetaStudies_0.1.0.zip(r-4.3)
MetaStudies_0.1.0.tgz(r-4.4-any)MetaStudies_0.1.0.tgz(r-4.3-any)
MetaStudies_0.1.0.tar.gz(r-4.5-noble)MetaStudies_0.1.0.tar.gz(r-4.4-noble)
MetaStudies_0.1.0.tgz(r-4.4-emscripten)MetaStudies_0.1.0.tgz(r-4.3-emscripten)
MetaStudies.pdf |MetaStudies.html✨
MetaStudies/json (API)
| # Install 'MetaStudies' in R: |
| install.packages('MetaStudies', repos = c('https://skranz.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/skranz/metastudies/issues
Last updated 4 years agofrom:c0715f99b9 (on main). Checks:OK: 1 WARNING: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 05 2024 |
| R-4.5-win | WARNING | Dec 05 2024 |
| R-4.5-linux | WARNING | Dec 05 2024 |
| R-4.4-win | WARNING | Dec 05 2024 |
| R-4.4-mac | WARNING | Dec 05 2024 |
| R-4.3-win | WARNING | Dec 05 2024 |
| R-4.3-mac | WARNING | Dec 05 2024 |
Exports:bootstrap_specification_testsbootstrap_specification_tests_innerClustered_covariance_estimateestimates_plotestimatestablemetastudies_abs_funnel_plotmetastudies_estimationmetastudies_funnel_plotMetaStudiesAppmetastudy_X_sigma_corsnlistprint.MetaStudyRobustVariancesummarize_bootstrap_specification_testsTpowers_funVariationVarianceLogLikelihoodz_histogram
Dependencies:base64encbslibcachemclicolorspacecommonmarkcrayondigestdplyrfansifarverfastmapfontawesomefsgenericsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigplyrpromisesR6rappdirsRColorBrewerRcppreshaperlangsassscalesshinysourcetoolstibbletidyselectutf8vctrsviridisLitewithrxtable
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Call metastudy_X_sigma_cors repeatedly with new bootstrap samples to compute standard errors for correlations using the inverse probability weighting approach | bootstrap_specification_tests |
| Plot | estimates_plot |
| Perform Andrews and Kasy (2019) estimation | metastudies_estimation |
| Create and run the MetaStudies shiny app | MetaStudiesApp |
| Computes correlations to test the independece assumption between estimate and standard error of Andrews and Kasy (2019) | metastudy_X_sigma_cors |
