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]

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

Peer review:

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

On CRAN:

12 exports 0.63 score 51 dependencies 12 scripts 234 downloads

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

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