Reporting balance for clustered data sets, data sets generated through

In addition, cobalt has tools for assessing and cobalt alsoĪllows for balance assessment on data not generated through any of theĬonditioning packages.

cobalt unites these packages by providing a single,įlexible tool that intelligently processes output from any of theĬonditioning packages and provides the user with both useful defaultsĪnd customizable options for display and calculation. Make use of ggplot2 in R for balance assessment and reporting.īecause conditioning methods are spread across several packages whichĮach have their idiosyncrasies in how they report balance (if at all),Ĭomparing the resulting balance from various conditioning methods can beĪ challenge. In addition, cobalt has unique plotting capabilities that Incorporate recent methodological recommendations in the assessment ofīalance. Were consistent across all conditioning packages, to allow forįlexibility in the calculation and display of balance measures, and to Most of the major conditioning packages contain functions to assessīalance so why use cobalt at all? cobalt arose out of severalĭesiderata when using these packages: to have standardized measures that Currently, cobalt isĬompatible with output from MatchIt, twang, Matching, optmatch,ĬBPS, ebal, WeightIt, designmatch, sbw, MatchThem, and cemĪs well as data not processed through these packages. The use of cobalt with longitudinal treatments, and one for the use ofĬobalt to generate publication-ready plots. The use of cobalt with multiply imputed and/or clustered data, one for Which can be accessed at vignette('cobalt'): one for basic uses ofĬobalt, one for the use of cobalt with additional packages, one for There are also five vignettes detailing the use of cobalt, Each page has examples of how bal.tab() is used with the To examine howīal.tab() integrates with these packages and others, see the help fileįor bal.tab() with ?bal.tab, which links to the methods used forĮach package. Stands for “balance table”, and is meant to replace (or supplement) theīalance assessment tools found in other R packages. cobalt’s primary function is bal.tab(), which Weighting, matching, or subclassification, such as by using the cobalt allows users to assess balance onĬovariate distributions in preprocessed groups generated through Welcome to cobalt, which stands for Covariate Balance Cobalt: Covariate Balance Tables and Plots Overview

Install cobalt strike 3.5