Package: metapro 1.5.11

metapro: Robust P-Value Combination Methods

The meta-analysis is performed to increase the statistical power by integrating the results from several experiments. The p-values are often combined in meta-analysis when the effect sizes are not available. The 'metapro' R package provides not only traditional methods (Becker BJ (1994, ISBN:0-87154-226-9), Mosteller, F. & Bush, R.R. (1954, ISBN:0201048523) and Lancaster HO (1949, ISSN:00063444)), but also new method named weighted Fisher’s method we developed. While the (weighted) Z-method is suitable for finding features effective in most experiments, (weighted) Fisher’s method is useful for detecting partially associated features. Thus, the users can choose the function based on their purpose. Yoon et al. (2021) "Powerful p-value combination methods to detect incomplete association" <doi:10.1038/s41598-021-86465-y>.

Authors:Sora Yoon <[email protected]>

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metapro/json (API)

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

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 5 scripts 197 downloads 3 exports 31 dependencies

Last updated 2 years agofrom:9bf0057f50. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-winOKNov 16 2024
R-4.5-linuxOKNov 16 2024
R-4.4-winOKNov 16 2024
R-4.4-macOKNov 16 2024
R-4.3-winOKNov 16 2024
R-4.3-macOKNov 16 2024

Exports:lancasterwFisherwZ

Dependencies:BiobaseBiocGenericscodetoolsDEoptimRgenericslatticeMASSmathjaxrMatrixMatrixModelsmetapmnormtmultcompmulttestmutossmvtnormnumDerivplotrixqqconfquantregrbibutilsRcppRdpackrobustbasesandwichsnSparseMsurvivalTFisherTH.datazoo