rnmamod, version 0.2.0 (2022-04-06)
- Typos and links (for functions and packages) in the documentation are corrected.
- Function run_model:
- allows the user to define the reference intervention of the network via the argument ref;
- (only for binary outcome) estimates the absolute risks for all non-reference interventions using a selected baseline risk for the reference intervention (argument base_risk);
- (only for binary outcome) estimates the relative risks and risk difference as functions of the estimated absolute risks.
- Function league_table_absolute:
- (only for binary outcome) it presents the absolute risks per 1000 participants in main diagonal, the odds ratio on the upper off-diagonals, and the risk difference per 1000 participants in the lower off-diagonals;
- allow the user to select the interventions to present via the argument show (ideal for very large networks that make the league table cluttered).
- Functions league_heatmap and league_heatmap_pred:
- allow the user to select the interventions to present via the argument show (ideal for very large networks that make the league table cluttered);
- allow the user to illustrate the results of two outcomes for the same model (i.e. via run_model or run_metareg) or the results of two models on the same outcome (applicable for: (i) run_model versus run_metareg, and (ii) run_model versus run_series_meta).
- Functions series_meta_plot and nodesplit_plot:
- present the extent of heterogeneity in the forest plot of tau using different colours for low, reasonable, fairly high, and fairly extreme tau (the classification has been suggested by Spiegelhalter et al., 2004; ISBN 0471499757).
rnmamod, version 0.1.0 (2021-11-21)