Package: APFr 1.0.2

APFr: Multiple Testing Approach using Average Power Function (APF) and Bayes FDR Robust Estimation

Implements a multiple testing approach to the choice of a threshold gamma on the p-values using the Average Power Function (APF) and Bayes False Discovery Rate (FDR) robust estimation. Function apf_fdr() estimates both quantities from either raw data or p-values. Function apf_plot() produces smooth graphs and tables of the relevant results. Details of the methods can be found in Quatto P, Margaritella N, et al. (2019) <doi:10.1177/0962280219844288>.

Authors:Nicolò Margaritella [cre, aut], Piero Quatto [aut]

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APFr/json (API)

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

Peer review:

Datasets:
  • Ex1 - Example dataset 1
  • Ex2 - Example 2

On CRAN:

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

2 exports 0.00 score 0 dependencies 243 downloads

Last updated 5 years agofrom:780e4ee0f9. 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:apf_fdrapf_plot

Dependencies: