Package index • interactmeta

Main workflow

Fit a CAMS model with cams(), extract the main effects, and create the principal visualizations.

cams(): Contribution-adjusted meta-analysis for treatment effect modification
ifrac(): Information fraction within each trial and pooled across trials
interactions(): Subgroup-difference (interaction) effects
modifiers(): Modifier-level treatment effects
combined(): Combined-population treatment effect
heterogeneity(): Between-trial heterogeneity from a CAMS fit
shrinkage(): Shrinkage (trial-level) effects from a CAMS fit
forestplot() forestplot.interactmeta() forestplot.interactmeta_da() forestplot.interactmeta_ad() forestplot.interactmeta_swada() forestplot.interactmeta_conventional() forest.interactmeta_da() forest.interactmeta_ad() forest.interactmeta_swada() forest.interactmeta_conventional() forest.interactmeta(): Forest plot for a fitted model
plot_contribution(): Contribution-adjusted CAMS meta-regression over information fraction

Separate constructions, plus the Bayesian wrapper.

da(): Estimate a treatment-by-subgroup interaction using the Difference-of-Averages construction
ad(): Estimate a treatment-by-subgroup interaction using the Average-Difference construction
swada(): Apply the Same Weighting Across Different Analyses principle
conventional(): Bundle of DA and AD with analysis-specific weights

sensitivity(): Fit multiple meta-analysis constructions on the same data
compare(): Compare estimands across a sensitivity analysis or multiple fits
compare_forestplots(): Lay out several full forest plots side by side (or in a grid)
compare_interactions(): Side-by-side treatment-by-subgroup interactions from DA, AD, SWADA, and CAMS
compare_modifiers(): Side-by-side modifier-level treatment effects from DA, SWADA, and CAMS
compare_combined(): Side-by-side combined-population effects
compare_heterogeneity(): Side-by-side heterogeneity summaries
compare_ifrac(): Side-by-side pooled information fractions
compare_weights(): Trial contribution weights from DA, AD, and SWADA

predict_cams_by_if(): CAMS subgroup and overall effects on an information-fraction grid
observed_effects(): Observed trial-level treatment-effect estimates and variances
standardized_trial_effects(): Trial-specific effects standardized to the overall IF
cams_trial_quantities() cam_trial_quantities(): Trial-level CAMS quantities \(\pi_j\), \(m_j\), \(g_j\)
shrinkage_diagnostics(): Diagnostic table for trial-specific CAMS shrinkage
subgroup_long(): Reshape wide subgroup data to long format

plot_modifiers(): Comparable forest of modifier-level treatment effects
plot_heterogeneity() plot(<interactmeta_heterogeneity>): Heterogeneity plots
forestplot_height(): Recommended figure dimensions for a forest plot
forestplot_default_width_height_ratio(): Default width-to-height ratio for recommended forest export size

log_hr_from_ci(): Log-hazard ratio and SE from a reported HR confidence interval
hr_ci_from_log(): Reconstruct an HR confidence interval from yi and sei

interactmeta_palette() subgroupmeta_palette(): Colour palette for interactmeta figures
interactmeta_theme_report() subgroupmeta_theme_report(): Report / dashboard theme for interactmeta ggplot figures
interactmeta_capability_matrix(): Analysis / inference / implementation capabilities

Re-exported helpers from other packages, including escalc().

interactmeta-reexports escalc tidy traceplot: Re-exported helpers from dependencies

print(<interactmeta>): Print a CAMS fit (bayesmeta-style)
summary(<interactmeta>) print(<summary.interactmeta>): Summarize a CAMS fit (bayesmeta-style)
fitted(<interactmeta>): Linear predictor table for a CAMS fit
as.data.frame(<interactmeta>): Parameter table of a CAMS fit
tidy(<interactmeta>): Tidy all CAMS estimands from a fitted model
tidy(<interactmeta_subgroup_effects>): Tidy a interactmeta_subgroup_effects object
tidy(<interactmeta_interaction_effects>): Tidy a interactmeta_interaction_effects object
tidy(<interactmeta_combined_effect>): Tidy an interactmeta_combined_effect object
tidy(<interactmeta_heterogeneity>): Tidy a interactmeta_heterogeneity object
plot(<interactmeta_compare>) plot(<interactmeta_compare_interactions>) plot(<interactmeta_compare_subgroups>) plot(<interactmeta_compare_combined>) plot(<interactmeta_compare_heterogeneity>) plot(<interactmeta_compare_ifrac>) plot(<interactmeta_compare_weights>): Plot a comparison table as a forest of estimates
traceplot(<interactmeta>): Rubin-style shrinkage trace plots for a CAMS fit
print(<interactmeta_overall_ifrac>): Print overall information fraction summary
plot(<interactmeta>): CAMS model fit (interactmeta)

interactmeta-package interactmeta: Meta-analysis of treatment effect modification from modifier-level aggregate data