Package: nmathresh 0.1.6
nmathresh: Thresholds and Invariant Intervals for Network Meta-Analysis
Calculation and presentation of decision-invariant bias adjustment thresholds and intervals for Network Meta-Analysis, as described by Phillippo et al. (2018) <doi:10.1111/rssa.12341>. These describe the smallest changes to the data that would result in a change of decision.
Authors:
nmathresh_0.1.6.tar.gz
nmathresh_0.1.6.zip(r-4.5)nmathresh_0.1.6.zip(r-4.4)nmathresh_0.1.6.zip(r-4.3)
nmathresh_0.1.6.tgz(r-4.4-any)nmathresh_0.1.6.tgz(r-4.3-any)
nmathresh_0.1.6.tar.gz(r-4.5-noble)nmathresh_0.1.6.tar.gz(r-4.4-noble)
nmathresh_0.1.6.tgz(r-4.4-emscripten)nmathresh_0.1.6.tgz(r-4.3-emscripten)
nmathresh.pdf |nmathresh.html✨
nmathresh/json (API)
NEWS
# Install 'nmathresh' in R: |
install.packages('nmathresh', repos = c('https://dmphillippo.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dmphillippo/nmathresh/issues
- SocAnx.post.cov - Posterior covariance matrix from Social Anxiety NMA
- SocAnx.post.summary - Posterior summary from Social Anxiety NMA
- Thrombo.post.cov - Posterior covariance matrix from Thrombolytics NMA
- Thrombo.post.summary - Posterior summary from Thrombolytics NMA
Last updated 4 years agofrom:99bc36184a. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 05 2024 |
R-4.5-win | OK | Sep 05 2024 |
R-4.5-linux | OK | Sep 05 2024 |
R-4.4-win | OK | Sep 05 2024 |
R-4.4-mac | OK | Sep 05 2024 |
R-4.3-win | OK | Sep 05 2024 |
R-4.3-mac | OK | Sep 05 2024 |
Exports:d_ab2id_i2abget.intnma_threshrecon_vcovthresh_2dthresh_forest
Dependencies:clicolorspacefansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmennlspillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Convert contrast indexing | d_ab2i d_i2ab |
Get thresholds from U matrix | get.int |
Calculate thresholds and invariant intervals | nma_thresh |
Reconstruct likelihood covariance matrix | recon_vcov |
Posterior covariance matrix from Social Anxiety NMA | SocAnx.post.cov |
Posterior summary from Social Anxiety NMA | SocAnx.post.summary |
Producing two-dimensional invariant regions | thresh_2d |
Producing threshold forest plots | thresh_forest |
The thresh class | thresh-class |
Posterior covariance matrix from Thrombolytics NMA | Thrombo.post.cov |
Posterior summary from Thrombolytics NMA | Thrombo.post.summary |