Description: A set of functions providing several outlier (i.e., studies with extreme findings) and influential detection measures and methodologies in network meta-analysis:
- Simple outlier and influential deletion measures provided: (a) Raw, (b) Standardized, (c) Studentized residuals; (d) Mahalanobis distance and (c) leverage.
- Outlier and influential detection measures by considering study deletion (Shift the mean): (a) Raw (b) Standardized, (c) Studentized deleted residuals;
(d) Cook distance; (e) Ratio of variance-covariance matrix; (f) weight leave one out; (g) leverage leave one out; (h) heterogeneity leave one out;
(i) R heterogeneity; (k) R Q total; (l) R Q heterogeneity (m);  R Q inconsistency and (n) statistic that indicate the effect that deleting each study has on the treatment estimates.
- Plots for outlier and influential detection simply and deletion measures (all the above measures) and Q-Q plot for network meta-analysis.
- Forward Search algorithm in network meta-analysis.
- Forward plots for the monitoring statistics in each step of Forward search algorithm:
(a) P-scores; (b) z-values for difference of direct and indirect evidence with back-calculation method;
(c) Standardized residuals; (d) heterogeneity variance estimator; (e) cook distance; (f) ratio of variances;
- Forward plots for summary estimates and their confidence intervals in each step of forward search algorithm.

Description: A set of functions providing several outlier (i.e., studies with extreme findings) and influential detection measures and methodologies in network meta-analysis :
- simple outlier and influential detection measures
- outlier and influential detection measures by considering study deletion (shift the mean)
- plots for outlier and influential detection measures
- forward plots to monitor statistics in each step of the forward search algorithm
- forward plots for summary estimates and their confidence intervals in each step of forward search algorithm.
Packaged: 2021-10-11 11:05:08 UTC; mariapetropoulou