R: Design-Robust Meta-Analysis via Variance-Function Models

# Design-Robust Meta-Analysis via Variance-Function Models

## Documentation for package ‘drmeta’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

drmeta-package | drmeta: Design-Robust Meta-Analysis
coef.drmeta | Extract Coefficients from a drmeta Object
confint.drmeta | Confidence Interval for a drmeta Object
drmeta | Fit a Design-Robust Meta-Analysis (DR-Meta) Model
dr_forest | Forest Plot for DR-Meta
dr_from_design | Design Robustness from Study Design Type
dr_funnel | Funnel Plot for DR-Meta
dr_heterogeneity | Heterogeneity Diagnostics for DR-Meta
dr_loo | Leave-One-Out Influence Diagnostics for DR-Meta
dr_plot | Weight Diagnostic Plot for DR-Meta
dr_plot_vfun | Variance Function Plot for DR-Meta
dr_pub_bias | Publication Bias Assessment for DR-Meta (PET/PEESE/Egger/Funnel)
dr_score | Construct a Design Robustness Index (DR_i)
dr_variance | Evaluate the DR-Meta Variance Function
dr_weights | Compute DR-Meta Study Weights
fitted.drmeta | Fitted Values for a drmeta Object
logLik.drmeta | Log-Likelihood for a drmeta Object
normalize_01 | Normalise a Numeric Vector to the [0, 1] Interval
print.drmeta | Print Method for drmeta Objects
residuals.drmeta | Residuals for a drmeta Object
summary.drmeta | Summary Method for drmeta Objects