Package: metaumbrella 1.0.11
Corentin J Gosling
metaumbrella: Umbrella Review Package for R
A comprehensive range of facilities to perform umbrella reviews with stratification of the evidence in R. The package accomplishes this aim by building on three core functions that: (i) automatically perform all required calculations in an umbrella review (including but not limited to meta-analyses), (ii) stratify evidence according to various classification criteria, and (iii) generate a visual representation of the results. Note that if you are not familiar with R, the core features of this package are available from a web browser (<https://www.metaumbrella.org/>).
Authors:
metaumbrella_1.0.11.tar.gz
metaumbrella_1.0.11.tar.gz(r-4.5-noble)metaumbrella_1.0.11.tar.gz(r-4.4-noble)
metaumbrella_1.0.11.tgz(r-4.4-emscripten)metaumbrella_1.0.11.tgz(r-4.3-emscripten)
metaumbrella.pdf |metaumbrella.html✨
metaumbrella/json (API)
NEWS
| # Install 'metaumbrella' in R: |
| install.packages('metaumbrella', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- df.HR - Meta-analyses exploring the efficacy of several interventions on a binary outcome.
- df.IRR - Meta-analysis exploring adverse events of smoking.
- df.OR - Meta-analyses exploring a risk factor for neurodevelopmental disorders.
- df.OR.multi - Meta-analysis of RCTs assessing different dietary interventions on a binary outcome.
- df.R - Meta-analyses of correlational data
- df.RR - Meta-analysis of the adverse events of antidepressants.
- df.SMC - Meta-analyses exploring the efficacy of an intervention on a continuous outcome measured before and after the intervention.
- df.SMD - Meta-analyses exploring the efficacy of surgical and pharmacological interventions.
- df.radua2019 - Meta-analyses exploring the risk factors for posttraumatic stress disorder.
- df.train - Training dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 months agofrom:0ef830f427. Checks:OK: 1 ERROR: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-linux | ERROR | Nov 04 2024 |
Exports:add.evidencedrop.evidenceesb.testforestforest.data.frameforest.umbrellaoverlap.primsubset.umbrellasummary.umbrellaumbrellaumbrella.guiumbrella.xlsunion.umbrellaview.errors.umbrella
Dependencies:bitbit64bootcellrangerclicliprCompQuadFormcpp11crayondplyrfansigenericsgluehmslatticelifecyclelme4magrittrMASSmathjaxrMatrixmetametadatmetaforminqanlmenloptrnumDerivpbapplypillarpkgconfigpowerSurvEpipracmaprettyunitsprogresspurrrpwrR6RcppRcppEigenreadrreadxlrematchrlangstringistringrsurvivaltibbletidyselecttzdbutf8vctrsvroomwithrwritexlxml2xtable
Vignette 1: prepare a well-formatted dataset with metaumbrella
Rendered fromformat-dataset.Rmdusingknitr::rmarkdownon Nov 04 2024.Last update: 2022-06-13
Started: 2022-06-09
Vignette 2: conduct an umbrella review with metaumbrella
Rendered fromconduct-umbrella.Rmdusingknitr::rmarkdownon Nov 04 2024.Last update: 2023-11-06
Started: 2022-06-09
Vignette 3: create a forest plot for an umbrella review with metaumbrella
Rendered fromgenerate-forest.Rmdusingknitr::rmarkdownon Nov 04 2024.Last update: 2023-11-06
Started: 2022-06-09
Vignette 4: Details on calculations made by metaumbrella
Rendered fromcalculations-details.Rmdusingknitr::rmarkdownon Nov 04 2024.Last update: 2023-07-01
Started: 2022-06-09
