Development Roadmap
In summata: Publication-Ready Summary Tables and Forest Plots

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This article outlines planned features for future versions of summata, informed by capabilities available in related packages and user feedback. The roadmap is tentative and subject to change based on development priorities and community input.

Planned Features

The following features are under consideration for future releases, organized by priority level.

Higher Priority

Features expected in near-term releases:

| Feature | Description | Reference | |:--------|:------------|:----------| | Paired/longitudinal tables | Summary tables for paired measurements across time points | arsenal | | Subgroup analysis | Stratified analyses with syntax similar to tbl_strata() | gtsummary | | Missing data visualization | Visual patterns of missingness for data quality assessment | finalfit |

Medium Priority

Features planned for subsequent releases:

| Feature | Description | Reference | |:--------|:------------|:----------| | Inline text reporting | Extract statistics for R Markdown inline reporting | gtsummary | | Survey-weighted analysis | Support for svyglm(), svycoxph() from the survey package | gtsummary, survey | | Competing risks regression | Fine-Gray models via the cmprsk package | finalfit | | Multinomial regression | Support for nnet::multinom() with multi-level categorical outcomes | gtsummary, nnet | | Ordinal regression | Support for MASS::polr() and ordinal::clm() for ordered categorical outcomes | MASS, ordinal | | Custom statistics | User-defined summary statistics functions for desctable() | gtsummary |

Lower Priority

Features under consideration for future releases:

| Feature | Description | Reference | |:--------|:------------|:----------| | Bootstrap CIs | Bootstrapped confidence intervals for model predictions | finalfit | | GAM models | Generalized additive model support via mgcv | gtsummary | | Bayesian models | Support for brmsfit and stanreg model objects | gtsummary |

Contributing

Contributions to summata are welcome. If interested in implementing a roadmap feature or proposing a new one, please consult the contributing guidelines in the package repository.