Package: miniMeta 0.3.2

Theodore Lytras

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:Theodore Lytras [aut, cre]

miniMeta_0.3.2.tar.gz
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://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/thlytras/minimeta/issues

Datasets:

example_miniMeta_obs - Example miniMeta analyses
example_miniMeta_rct - Example miniMeta analyses

10 exports 3.00 score 100 dependencies 3 scripts 220 downloads

Last updated 3 months agofrom:153a5d28e4. Checks:OK: 1 WARNING: 1. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Sep 10 2024
R-4.5-linux	WARNING	Sep 10 2024

Exports:analysisOptions as.source is.miniMeta is.miniMeta.obs is.miniMeta.rct miniMeta parseArguments plotOptions sampleSizeBin sampleSizeCont

Dependencies:anytime base64enc BH bit bit64 boot bslib cachem cellranger cli clipr colorspace colourpicker commonmark CompQuadForm cpp11 crayon digest dplyr evaluate fansi farver fastmap fontawesome fs generics ggplot2 glue gtable highr hms htmltools htmlwidgets httpuv isoband jquerylib jsonlite knitr labeling later lattice lifecycle lme4 magrittr markdown MASS mathjaxr Matrix memoise meta metadat metafor mgcv mime miniUI minqa munsell nlme nloptr numDeriv pbapply pillar pkgconfig prettyunits progress promises purrr R6 rappdirs RColorBrewer Rcpp RcppEigen readr readxl rematch rhandsontable rlang rmarkdown sass scales shiny shinyjs shinyWidgets sourcetools stringi stringr tibble tidyselect tinytex tzdb utf8 vctrs viridisLite vroom withr WriteXLS xfun xml2 xtable yaml

Running meta-analyses with miniMeta

Theodore Lytras <[email protected]>

Rendered fromminiMeta_manual.Rmdusingknitr::rmarkdownon Sep 10 2024.

Last update: 2020-03-01
Started: 2020-03-01

Citation

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