Installation | Example | Prepare data | Do deft analysis | Show analysis result | Combine with metafor | References
Package: metawho 0.2.0
metawho: Meta-Analytical Implementation to Identify Who Benefits Most from Treatments
A tool for implementing so called 'deft' approach (see Fisher, David J., et al. (2017) <doi:10.1136/bmj.j573>) and model visualization.
Authors:
metawho_0.2.0.tar.gz
metawho_0.2.0.zip(r-4.7)metawho_0.2.0.zip(r-4.6)metawho_0.2.0.zip(r-4.5)
metawho_0.2.0.tgz(r-4.6-any)metawho_0.2.0.tgz(r-4.5-any)
metawho_0.2.0.tar.gz(r-4.7-any)metawho_0.2.0.tar.gz(r-4.6-any)
metawho_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
metawho/json (API)
| # Install 'metawho' in R: |
| install.packages('metawho', repos = c('https://shixiangwang.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/shixiangwang/metawho/issues
Datasets:
- wang2019 - Hazard ratio (HR) for disease progression analysis comparing TMB-high with TMB-low in three NSCLC datasets
deft-approachmeta-analysissubgroup-analysis
Last updated from:56a6884abb. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 180 | ||
| source / vignettes | OK | 234 | ||
| linux-release-x86_64 | OK | 190 | ||
| macos-release-arm64 | OK | 122 | ||
| macos-oldrel-arm64 | OK | 92 | ||
| windows-devel | OK | 109 | ||
| windows-release | OK | 129 | ||
| windows-oldrel | OK | 107 | ||
| wasm-release | OK | 118 |
Exports::=.data%>%as_labelas_namedeft_dodeft_preparedeft_showenquoenquosexprsymsyms
Dependencies:backportsbroomclicpp11digestdplyrfarverforestmodelgenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrmathjaxrMatrixmetadatmetafornlmenumDerivpbapplypillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
