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EFDR  

Wavelet-Based Enhanced FDR for Detecting Signals from Complete or Incomplete Spatially Aggregated Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("EFDR", "1.3")



Attach the package and use:
library("EFDR")
Maintained by
Andrew Zammit-Mangion
[Scholar Profile | Author Map]
First Published: 2015-01-14
Latest Update: 2023-08-22
Description:
Enhanced False Discovery Rate (EFDR) is a tool to detect anomalies in an image. The image is first transformed into the wavelet domain in order to decorrelate any noise components, following which the coefficients at each resolution are standardised. Statistical tests (in a multiple hypothesis testing setting) are then carried out to find the anomalies. The power of EFDR exceeds that of standard FDR, which would carry out tests on every wavelet coefficient: EFDR choose which wavelets to test based on a criterion described in Shen et al. (2002). The package also provides elementary tools to interpolate spatially irregular data onto a grid of the required size. The work is based on Shen, X., Huang, H.-C., and Cressie, N. 'Nonparametric hypothesis testing for a spatial signal.' Journal of the American Statistical Association 97.460 (2002): 1122-1140.
How to cite:
Andrew Zammit-Mangion (2015). EFDR: Wavelet-Based Enhanced FDR for Detecting Signals from Complete or Incomplete Spatially Aggregated Data. R package version 1.3, https://cran.r-project.org/web/packages/EFDR. Accessed 06 May. 2025.
Previous versions and publish date:
0.1.0 (2015-01-14 07:19), 0.1.1 (2015-04-04 13:33), 1.0 (2019-05-20 06:21), 1.2 (2021-04-18 07:50)
Other packages that cited EFDR R package
View EFDR citation profile
Other R packages that EFDR depends, imports, suggests or enhances
Complete documentation for EFDR
Functions, R codes and Examples using the EFDR R package
Some associated functions: EFDR . df.to.mat . diagnostic.table . fdrpower . nei.efdr . regrid . test.efdr.condsim . test_image . wav_th . wavelet-test . 
Some associated R codes: EFDR.R . EFDR_condsim.R . EFDR_functions.R .  Full EFDR package functions and examples
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