Package: metamedian 1.1.2

Sean McGrath

metamedian: Meta-Analysis of Medians

Implements several methods to meta-analyze studies that report the sample median of the outcome. When the primary studies are one-group studies, the methods of McGrath et al. (2019) <doi:10.1002/sim.8013> and Ozturk and Balakrishnan (2020) <doi:10.1002/sim.8738> can be applied to estimate the pooled median. In the two-group context, the methods of McGrath et al. (2020a) <doi:10.1002/bimj.201900036> can be applied to estimate the pooled difference of medians across groups. Additionally, a number of methods (e.g., McGrath et al. (2020b) <doi:10.1177/0962280219889080>, Cai et al. (2021) <doi:10.1177/09622802211047348>, and McGrath et al. (2023) <doi:10.1177/09622802221139233>) are implemented to estimate study-specific (difference of) means and their standard errors in order to estimate the pooled (difference of) means. See McGrath et al. (2024) <doi:10.1002/jrsm.1686> for a detailed guide on using the package.

Authors:Sean McGrath [aut, cre], XiaoFei Zhao [aut], Stephan Katzenschlager [aut], Omer Ozturk [aut], Russell Steele [aut], Andrea Benedetti [aut]

metamedian_1.1.2.tar.gz
metamedian_1.1.2.zip(r-4.5)metamedian_1.1.2.zip(r-4.4)metamedian_1.1.2.zip(r-4.3)
metamedian_1.1.2.tgz(r-4.4-any)metamedian_1.1.2.tgz(r-4.3-any)
metamedian_1.1.2.tar.gz(r-4.5-noble)metamedian_1.1.2.tar.gz(r-4.4-noble)
metamedian_1.1.2.tgz(r-4.4-emscripten)metamedian_1.1.2.tgz(r-4.3-emscripten)
metamedian.pdf |metamedian.html
metamedian/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/stmcg/metamedian/issues

Datasets:
  • dat.age - Example data set: Comparing the age between COVID-19 survivors and nonsurvivors
  • dat.age_raw - Example data set: Comparing the age between COVID-19 survivors and nonsurvivors
  • dat.asat - Example data set: Comparing aspartate transaminase levels between COVID-19 survivors and nonsurvivors
  • dat.asat_raw - Example data set: Comparing aspartate transaminase levels between COVID-19 survivors and nonsurvivors
  • dat.ck - Example data set: Comparing creatine kinase levels between COVID-19 survivors and nonsurvivors
  • dat.ck_raw - Example data set: Comparing creatine kinase transaminase levels between COVID-19 survivors and nonsurvivors
  • dat.phq9 - Example data set: Patient Health Questionnaire-9
  • dat.phq9_raw - Example data set: Patient Health Questionnaire-9

On CRAN:

7 exports 8 stars 2.36 score 72 dependencies 5 mentions 16 scripts 379 downloads

Last updated 3 days agofrom:7fa5f7c5ae. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-winOKSep 14 2024
R-4.5-linuxOKSep 14 2024
R-4.4-winOKSep 14 2024
R-4.4-macOKSep 14 2024
R-4.3-winOKSep 14 2024
R-4.3-macOKSep 14 2024

Exports:cddescribe_studiesmetameanmetamedianpool.medqeqe.study.level

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacedata.tabledigestestmeansdevaluatefansifarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSmathjaxrMatrixmemoisemetaBLUEmetadatmetaformgcvmimemunsellnlmennetnumDerivpbapplypillarpkgconfigR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml