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APFr  

Multiple Testing Approach using Average Power Function (APF) and Bayes FDR Robust Estimation
View on CRAN: Click here


Download and install APFr package within the R console
Install from CRAN:
install.packages("APFr")

Install from Github:
library("remotes")
install_github("cran/APFr")

Install by package version:
library("remotes")
install_version("APFr", "1.0.2")



Attach the package and use:
library("APFr")
Maintained by
Nicolò Margaritella
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-18
Latest Update: 2019-06-18
Description:
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) .
How to cite:
Nicolò Margaritella (2019). APFr: Multiple Testing Approach using Average Power Function (APF) and Bayes FDR Robust Estimation. R package version 1.0.2, https://cran.r-project.org/web/packages/APFr. Accessed 21 Nov. 2024.
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Complete documentation for APFr
Functions, R codes and Examples using the APFr R package
Some associated functions: Ex1 . Ex2 . apf_fdr . apf_plot . 
Some associated R codes: apf_fdr.R . apf_plot.R .  Full APFr package functions and examples
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