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:Shixiang Wang [aut, cre]

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
card.svg |card.png
metawho/json (API)
NEWS

# 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

On CRAN:

Conda:

deft-approachmeta-analysissubgroup-analysis

4.69 score 7 stars 14 scripts 212 downloads 13 exports 41 dependencies

Last updated from:56a6884abb. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK160
source / vignettesOK200
linux-release-x86_64OK163
macos-release-arm64OK143
macos-oldrel-arm64OK92
windows-develOK157
windows-releaseOK116
windows-oldrelOK107
wasm-releaseOK112

Exports::=.data%>%as_labelas_namedeft_dodeft_preparedeft_showenquoenquosexprsymsyms

Dependencies:backportsbroomclicpp11digestdplyrfarverforestmodelgenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrmathjaxrMatrixmetadatmetafornlmenumDerivpbapplypillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

metawho

Rendered frommetawho.Rmdusingknitr::rmarkdownon May 14 2026.

Last update: 2019-12-06
Started: 2019-05-12