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EFDR
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]
[Scholar Profile | Author Map]
All associated links for this package
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 21 Nov. 2024.
Previous versions and publish date:
Other packages that cited EFDR R package
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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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