| Name : R-rnmamod
| |
| Version : 0.4.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.2
| Date : 2024-06-14 12:16:18
|
| Group : Development/Libraries/Other
| Source RPM : R-rnmamod-0.4.0-lp153.2.2.src.rpm
|
| Size : 1.63 MB
| |
| Packager : (none)
| |
| Summary : Bayesian Network Meta-Analysis with Missing Participants
|
Description :
A comprehensive suite of functions to perform and visualise pairwise
and network meta-analysis with aggregate binary or continuous missing
participant outcome data. The package covers core Bayesian one-stage
models implemented in a systematic review with multiple interventions,
including fixed-effect and random-effects network meta-analysis,
meta-regression, evaluation of the consistency assumption via the
node-splitting approach and the unrelated mean effects model, and
sensitivity analysis. Missing participant outcome data are addressed in
all models of the package. The robustness to primary analysis results
can also be investigated using a novel intuitive index. Methods to
evaluate the transitivity assumption quantitatively are provided. The
package also offers a rich, user-friendly visualisation toolkit that
aids in appraising and interpreting the results thoroughly and
preparing the manuscript for journal submission. The visualisation
tools comprise the network plot, forest plots, panel of diagnostic
plots, heatmaps on the extent of missing participant outcome data in
the network, league heatmaps on estimation and prediction, rankograms,
Bland-Altman plot, leverage plot, deviance scatterplot, heatmap of
robustness, barplot of Kullback-Leibler divergence, heatmap of
comparison dissimilarities and dendrogram of comparison clustering. The
package also allows the user to export the results to an Excel file at
the working directory.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
