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:David Phillippo [aut, cre]

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nmathresh.pdf |nmathresh.html✨
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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

Datasets:

On CRAN:

3.70 score 1 stars 10 scripts 219 downloads 1 mentions 7 exports 30 dependencies

Last updated 5 years agofrom:99bc36184a. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 02 2025
R-4.5-winOKFeb 02 2025
R-4.5-macOKFeb 02 2025
R-4.5-linuxOKFeb 02 2025
R-4.4-winOKFeb 02 2025
R-4.4-macOKFeb 02 2025
R-4.3-winOKFeb 02 2025
R-4.3-macOKFeb 02 2025

Exports:d_ab2id_i2abget.intnma_threshrecon_vcovthresh_2dthresh_forest

Dependencies:clicolorspacefansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmennlspillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

Examples: bias adjustment thresholds for network meta-analysis

David Phillippo, University of Bristol

Rendered fromExamples.Rmdusingknitr::rmarkdownon Feb 02 2025.

Last update: 2019-01-07
Started: 2016-12-01