Design-Robust Meta-Analysis via Variance-Function Models
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Documentation for package ‘drmeta’ version 0.1.0
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 |