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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NEWS

# Install 'nmathresh' in R:
install.packages('nmathresh', repos = c('https://dmphillippo.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/dmphillippo/nmathresh/issues

Datasets:

On CRAN:

7 exports 1 stars 1.02 score 30 dependencies 1 mentions 10 scripts 195 downloads

Last updated 4 years agofrom:99bc36184a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-winOKSep 05 2024
R-4.5-linuxOKSep 05 2024
R-4.4-winOKSep 05 2024
R-4.4-macOKSep 05 2024
R-4.3-winOKSep 05 2024
R-4.3-macOKSep 05 2024

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 Sep 05 2024.

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