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
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metawho.pdf |metawho.html✨
metawho/json (API)
NEWS

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

Peer review:

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:

deft-approachmeta-analysissubgroup-analysis

4.54 score 7 stars 9 scripts 141 downloads 13 exports 44 dependencies

Last updated 5 years agofrom:56a6884abb. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 24 2024
R-4.5-winOKOct 24 2024
R-4.5-linuxOKOct 24 2024
R-4.4-winOKOct 24 2024
R-4.4-macOKOct 24 2024
R-4.3-winOKOct 24 2024
R-4.3-macOKOct 24 2024

Exports::=.data%>%as_labelas_namedeft_dodeft_preparedeft_showenquoenquosexprsymsyms

Dependencies:backportsbroomclicolorspacecpp11dplyrfansifarverforestmodelgenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSmathjaxrMatrixmetadatmetaformgcvmunsellnlmenumDerivpbapplypillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

metawho

Shixiang Wang [email protected]

Rendered frommetawho.Rmdusingknitr::rmarkdownon Oct 24 2024.

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