Package: robomit 1.0.6

robomit: Robustness Checks for Omitted Variable Bias

Robustness checks for omitted variable bias. The package includes robustness checks proposed by Oster (2019). robomit the estimate i) the bias-adjusted treatment correlation or effect and ii) the degree of selection on unobservables relative to observables (with respect to the treatment variable) that would be necessary to eliminate the result based on the framework by Oster (2019). Additionally, robomit offers a set of sensitivity analysis and visualization functions. See: Oster, E. 2019. <doi:10.1080/07350015.2016.1227711>.

Authors:Sergei Schaub [aut, cre], ETH Zurich [cph]

robomit_1.0.6.tar.gz
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robomit.pdf |robomit.html
robomit/json (API)

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

Peer review:

Bug tracker:https://github.com/seschaub/robomit/issues

On CRAN:

2.81 score 13 scripts 171 downloads 12 exports 51 dependencies

Last updated 2 years agofrom:04a40e2683. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winNOTEOct 30 2024
R-4.5-linuxNOTEOct 30 2024
R-4.4-winNOTEOct 30 2024
R-4.4-macNOTEOct 30 2024
R-4.3-winOKOct 30 2024
R-4.3-macOKOct 30 2024

Exports:o_betao_beta_booto_beta_boot_info_beta_boot_vizo_beta_rsqo_beta_rsq_vizo_deltao_delta_booto_delta_boot_info_delta_boot_vizo_delta_rsqo_delta_rsq_viz

Dependencies:backportsbdsmatrixbroomclicollapsecolorspacecpp11digestdplyrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelmtestmagrittrMASSMatrixmaxLikmgcvmiscToolsmunsellnlmepillarpkgconfigplmpurrrR6rbibutilsRColorBrewerRcppRdpackrlangsandwichscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrzoo