Description: A number of utility function for exploratory factor analysis
are included in this package. In particular, it computes standard errors for
parameter estimates and factor correlations under a variety of conditions.
Imports: GPArotation, mvtnorm, MASS, plyr, graphics

Imports: GPArotation, mvtnorm, plyr, graphics, stats, utils

Imports: GPArotation, mvtnorm, plyr, graphics, stats, utils, MASS, Rcpp

Imports: GPArotation, plyr, graphics, stats, utils, MASS, mvtnorm

Description: A number of utility function for exploratory factor analysis are included in this package. In particular, it computes standard errors for parameter estimates and factor correlations under a variety of conditions.

Package: EFDR
Type: Package
Title: Wavelet-Based Enhanced FDR for Signal Detection in Noisy Images
Version: 0.1.0
Date: 2014-10-22
Authors@R: c(person("Andrew", "Zammit-Mangion", role = c("aut", "cre"),
email = "andrewzm@gmail.com"),
person("Hsin-Cheng", "Huang", role = "aut"))
Suggests: knitr, 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: Matrix, 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: http://github.com/andrewzm/EFDR
Depends: R (>= 3.0)
VignetteBuilder: knitr
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2015-01-14 05:30:49 UTC; andrew
Author: Andrew Zammit-Mangion [aut, cre],
Hsin-Cheng Huang [aut]
Maintainer: Andrew Zammit-Mangion <andrewzm@gmail.com>
Repository: CRAN
Date/Publication: 2015-01-14 07:19:56