Package: EFDR
Type: Package
Title: Wavelet-Based Enhanced FDR for Detecting Signals from Complete
        or Incomplete Spatially Aggregated Data
Version: 1.3
Date: 2023-08-23
Authors@R: c(person("Andrew", "Zammit-Mangion", role = c("aut", "cre"),
    email = "andrewzm@gmail.com"),
    person("Hsin-Cheng", "Huang", role = "aut"))
Suggests: knitr, rmarkdown, markdown, ggplot2, RCurl, fields,
        gridExtra, animation
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.
Imports: copula, Matrix, methods, foreach (>= 1.4.2), doParallel (>=
        1.0.8), waveslim (>= 1.7.5), parallel, gstat (>= 1.0-19), tidyr
        (>= 0.1.0.9000), dplyr (>= 0.3.0.2), sp (>= 1.0-15)
URL: https://github.com/andrewzm/EFDR/
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
RoxygenNote: 7.2.0
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        libgsl0-dev libicu-dev libssl-dev libproj-dev libsqlite3-dev
        libudunits2-dev
Repository: https://andrewzm.r-universe.dev
Date/Publication: 2023-08-22 21:56:13 UTC
RemoteUrl: https://github.com/andrewzm/efdr
RemoteRef: HEAD
RemoteSha: cc20b56f1ea7571a79b38850c568dbbf25f3e753
Packaged: 2026-07-19 06:52:50 UTC; root
Author: Andrew Zammit-Mangion [aut, cre],
  Hsin-Cheng Huang [aut]
Maintainer: Andrew Zammit-Mangion <andrewzm@gmail.com>