Cobalt: Covariate Balance Tables and Plots for Treatment Effect Estimation

Cobalt is an R package for generating balance tables and plots to assess covariate balance after preprocessing data for causal inference. The tool integrates with popular R packages like MatchIt, WeightIt, and CBPS for evaluating preprocessing outputs. It includes methods for assessing balance in clustered, multiply imputed, or longitudinal treatment data.

Use Cases

• Evaluate the effectiveness of propensity score matching based on the package's integration with MatchIt and WeightIt
• Assess covariate balance for multi-category or continuous treatments as mentioned in the description
• Generate diagnostic plots for balance assessment in clustered or multiply imputed datasets
• Check balance for data preprocessed outside of standard packages using the user-specified data functionality

Strengths

• Integrates with over 10 established R packages for causal inference preprocessing
• Includes specialized methods for complex data structures like clustered, imputed, or longitudinal data
• Provides both tabular and graphical outputs for balance assessment

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Last update date is unknown; freshness unverified

Provenance

Source

Noah Greifer via paperswithcode

Collection Method

Software package for statistical analysis

Time Range

Temporal coverage is not specified.

Freshness

Last updated date is unknown.

Geography

Spatial coverage is not specified.