Package: miniMeta 0.3.2
miniMeta: Web Application to Run Meta-Analyses
Shiny web application to run meta-analyses. Essentially a graphical front-end to package 'meta' for R. Can be useful as an educational tool, and for quickly analyzing and sharing meta-analyses. Provides output to quickly fill in GRADE (Grading of Recommendations, Assessment, Development and Evaluations) Summary-of-Findings tables. Importantly, it allows further processing of the results inside R, in case more specific analyses are needed.
Authors:
miniMeta_0.3.2.tar.gz
miniMeta_0.3.2.zip(r-4.5)miniMeta_0.3.2.zip(r-4.4)miniMeta_0.3.2.zip(r-4.3)
miniMeta_0.3.2.tgz(r-4.4-any)miniMeta_0.3.2.tgz(r-4.3-any)
miniMeta_0.3.2.tar.gz(r-4.5-noble)miniMeta_0.3.2.tar.gz(r-4.4-noble)
miniMeta_0.3.2.tgz(r-4.4-emscripten)miniMeta_0.3.2.tgz(r-4.3-emscripten)
miniMeta.pdf |miniMeta.html✨
miniMeta/json (API)
# Install 'miniMeta' in R: |
install.packages('miniMeta', repos = c('https://thlytras.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/thlytras/minimeta/issues
- example_miniMeta_obs - Example miniMeta analyses
- example_miniMeta_rct - Example miniMeta analyses
meta-analysesmeta-analysisobservational-studiesrandomized-controlled-trialssample-size-calculationshiny
Last updated 5 months agofrom:291fbfa16c. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 23 2024 |
R-4.5-win | OK | Nov 23 2024 |
R-4.5-linux | OK | Nov 23 2024 |
R-4.4-win | OK | Nov 23 2024 |
R-4.4-mac | OK | Nov 23 2024 |
R-4.3-win | OK | Nov 23 2024 |
R-4.3-mac | OK | Nov 23 2024 |
Exports:analysisOptionsas.sourceis.miniMetais.miniMeta.obsis.miniMeta.rctminiMetaparseArgumentsplotOptionssampleSizeBinsampleSizeCont
Dependencies:base64encbitbit64bootbslibcachemcellrangerclicliprcolorspacecolourpickercommonmarkCompQuadFormcpp11crayondigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhmshtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelifecyclelme4magrittrmarkdownMASSmathjaxrMatrixmemoisemetametadatmetaformgcvmimeminiUIminqamunsellnlmenloptrnumDerivpbapplypillarpkgconfigprettyunitsprogresspromisespurrrR6rappdirsRColorBrewerRcppRcppEigenreadrreadxlrematchrhandsontablerlangrmarkdownsassscalesshinyshinyjsshinyWidgetssourcetoolsstringistringrtibbletidyselecttinytextzdbutf8vctrsviridisLitevroomwithrWriteXLSxfunxml2xtableyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Get analytical options from miniMeta object | analysisOptions |
Return miniMeta analysis as source code | as.source |
Example miniMeta analyses | example_analyses example_miniMeta_obs example_miniMeta_rct |
Forest plot for miniMeta objects | forest.miniMeta |
Is this a miniMeta object? | is.miniMeta |
Is this a miniMeta object for observational studies? | is.miniMeta.obs |
Is this a miniMeta object for RCTs? | is.miniMeta.rct |
Launch miniMeta in your browser | miniMeta |
Parse arguments from a comma-separated list | parseArguments |
Get forest plot options from miniMeta object | plotOptions |
Sample size calculator for binary outcomes | sampleSizeBin |
Sample size calculator for continuous outcomes | sampleSizeCont |