Package index • gtregression

Describe and Check Data

Create baseline descriptive tables and inspect variable compatibility before modeling.

descriptive_table(): Descriptive Summary Table (no gtsummary) using gt/flextable
dissect(): Dissect a dataset before regression

Create publication-ready crude, adjusted, and multivariable regression tables.

Repeat univariable or adjusted models within levels of a stratifier.

Turn regression and survival outputs into curves, forest plots, and publication-style forest tables.

km_plot(): Kaplan-Meier survival plot
km_risk_table(): Kaplan-Meier risk table
rmst_table(): Restricted mean survival time table
survival_summary(): Kaplan-Meier survival summary table
survival_quantiles(): Kaplan-Meier survival quantile table
survival_prob(): Kaplan-Meier survival probability table
logrank_test(): Log-rank test for Kaplan-Meier survival curves
surv_model_compare(): Compare parametric survival model distributions
plot_surv_fit(): Plot observed and fitted parametric survival curves
surv_predict(): Predict survival probabilities from a parametric survival model
plot_reg(): Plot regression estimates
plot_reg_combine(): Side-by-side forest plots: univariate vs multivariable
forest_df(): Build a compatible data frame for forest plots
forest_reg(): Draw a forest table from regression outputs

Check convergence, collinearity, model fit, and candidate model paths.

Support interpretation with confounding, interaction, and mediation workflows.

Polish tables, combine outputs, and save tables, plots, or Word reports.

modify_table(): Modify Regression/Descriptive Tables (labels, headers, caption, notes)
merge_tables(): Merge gtregression tables and preserve structure and notes
save_table(): Save a single regression or summary table
save_docx(): Save multiple tables and plots to a Word document
save_plot(): Save a single plot
save_forest(): Save a forest_reg() output

Inspect and print objects returned by gtregression functions.

Built-in datasets for examples, teaching, and tests.