R: Performing Matched-Adjusted Indirect Comparisons (MAIC)

# Performing Matched-Adjusted Indirect Comparisons (MAIC)

## Documentation for package ‘MAICtools’ version 0.1.1

- DESCRIPTION file

## Help Pages

AgD_bl | Description of AgD_bl dataset
AgD_eff | Description of AgD_eff dataset
anchored_maic | Conduct Anchored Matching-Adjusted Indirect Comparison (MAIC).
check_matching | Check Whether the Variables are Balanced After Weighting
check_matching2wider | Convert a Longer Table Generated by check_matching() Into a Wider Table
estimate_ess | Estimate Effective Sample Size (ESS)
estimate_weights | Functions for the Estimation of Propensity Weights
hist_weights | Histograms of Weights and Rescaled Weights Distributions
IPD | Description of IPD dataset
pseudo | Description of pseudo dataset
pts | Description of pts dataset
summarize_weights | Summarize the Distribution of Weight Values
unanchored_kmplot | Generate a Kaplan-Meier Plot with Individual Efficacy Data and Pseudo Efficacy Data.
unanchored_maic | Conduct non-Anchored Matching-Adjusted Indirect Comparison (MAIC).
unanchored_maic_bootstrap | Conduct non-Anchored Matching-Adjusted Indirect Comparison (MAIC) and Calculate Confidence Intervals (CIs) Using Bootstrap.
unpts | Description of unpts dataset