Package: diagmeta 0.6-0

diagmeta: Meta-Analysis of Diagnostic Accuracy Studies with Several Cutpoints

Provides methods by Steinhauser et al. (2016) <doi:10.1186/s12874-016-0196-1> for meta-analysis of diagnostic accuracy studies with several cutpoints.

Authors:Gerta Rücker [aut], Susanne Steinhauser [aut], Srinath Kolampally [aut], Guido Schwarzer [aut, cre]

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NEWS

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

Peer review:

Bug tracker:https://github.com/guido-s/diagmeta/issues

Datasets:
  • Schneider2017 - Meta-analysis of studies of the diagnostic test accuracy of FENO for diagnosis of asthma

On CRAN:

diagnostic-accuracy-studiesmeta-analysisrstudio

5.15 score 4 stars 10 scripts 275 downloads 10 mentions 9 exports 48 dependencies

Last updated 2 months agofrom:3504dcdb8c. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:as.data.frame.diagmetadiagmetadiagstatsipd2diagplot.diagmetaprint.diagmetaprint.diagstatsprint.summary.diagmetasummary.diagmeta

Dependencies:bitbit64bootclicliprCompQuadFormcpp11crayondplyrfansigenericsgluehmslatticelifecyclelme4magrittrMASSmathjaxrMatrixmetametadatmetaforminqanlmenloptrnumDerivpbapplypillarpkgconfigprettyunitsprogresspurrrR6RcppRcppEigenreadrrlangstringistringrtibbletidyselecttzdbutf8vctrsvroomwithrxml2