Package: survNMA 1.1-1

survNMA: Network Meta-Analysis Combining Survival and Count Outcomes

Network meta-analysis for survival outcome data often involves several studies only involve dichotomized outcomes (e.g., the numbers of event and sample sizes of individual arms). To combine these different outcome data, Woods et al. (2010) <doi:10.1186/1471-2288-10-54> proposed a Bayesian approach using complicated hierarchical models. Besides, frequentist approaches have been alternative standard methods for the statistical analyses of network meta-analysis, and the methodology has been well established. We proposed an easy-to-implement method for the network meta-analysis based on the frequentist framework in Noma and Maruo (2025) <doi:10.1101/2025.01.23.25321051>. This package involves some convenient functions to implement the simple synthesis method.

Authors:Hisashi Noma [aut, cre]

survNMA_1.1-1.tar.gz
survNMA_1.1-1.zip(r-4.7)survNMA_1.1-1.zip(r-4.6)survNMA_1.1-1.zip(r-4.5)
survNMA_1.1-1.tgz(r-4.6-any)survNMA_1.1-1.tgz(r-4.5-any)
survNMA_1.1-1.tar.gz(r-4.7-any)survNMA_1.1-1.tar.gz(r-4.6-any)
survNMA_1.1-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
survNMA/json (API)

# Install 'survNMA' in R:
install.packages('survNMA', repos = c('https://nomahi.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • woods1 - Hazard ratio statistics of two trials directly extracted in Woods et al.
  • woods2 - Dichotomized dataset of three trials provided in Woods et al.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 144 downloads 4 exports 69 dependencies

Last updated from:829e58605d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK159
source / vignettesOK191
linux-release-x86_64OK172
macos-release-arm64OK124
macos-oldrel-arm64OK134
windows-develOK106
windows-releaseOK111
windows-oldrelOK136
wasm-releaseOK113

Exports:calcHRcalcsecombine2pairwiseHR

Dependencies:abindbitbit64bootclicliprcolorspaceCompQuadFormcpp11crayondigestdplyrfarvergenericsggplot2ggrepelgluegtablehmsigraphisobandlabelinglatticelifecyclelme4magicmagrittrMASSmathjaxrMatrixmetametabookmetadatmetaforminqamvtnormnetmetanlmenloptrnumDerivpbapplypillarpkgconfigprettyunitsprogresspurrrR6rbibutilsRColorBrewerRcppRcppEigenRdpackreadrreformulasrlangS7scalesstringistringrtibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrxml2