Packaged: Mon Mar 24 21:02:21 2008; warnes

Packaged: Mon May 12 23:20:22 2008; warnes

and/or documentation contributed by Ben Bolker and Thomas

Authors@R: c(person("Luis J", "Villanueva", email = "villanueval@si.edu",
Description: Functions to explore datasets from the Global Biodiversity Information Facility (GBIF - <https://www.gbif.org/>) using a Shiny interface.
Imports: dplyr, stringr, DT, XML, data.table, R.utils, readr, jsonlite,
progress, rgbif, httr, shinyWidgets, shinycssloaders
Depends: R(>= 3.2.0), DBI, leaflet, shiny, ggplot2, odbc
Packaged: 2020-09-09 21:08:35 UTC; villanueval
Maintainer: Luis J Villanueva <villanueval@si.edu>

Depends: R(>= 4.0.0), leaflet, shiny, ggplot2, RSQLite
Packaged: 2021-11-23 16:00:56 UTC; villanueval

Description: Functions for performing graphical difference testing.
Differences are generated between raster images.
Comparisons can be performed between different package
versions and between different R versions.
Imports: grDevices, utils, parallel, magick, pdftools
Suggests: gridBezier, grImport, metapost, ssh, stevedore

Imports: grDevices, utils, tools, parallel, magick, pdftools

Package: gdimap
Version: 0.0-2
Date: 2012-11-28
Title: Generalized Diffusion Magnetic Resonance Imaging
Author: Adelino Ferreira da Silva <afs@fct.unl.pt>
Maintainer: Adelino Ferreira da Silva <afs@fct.unl.pt>
Depends: R (>= 2.10.0), oro.nifti, gsl, movMF, gridExtra, rgl,
colorspace, geometry
Description: Diffusion anisotropy has been used to characterize white
matter neuronal pathways in the human brain, and infer global
connectivity in the central nervous system. The package
implements methods to estimate and visualize the orientation of
neuronal pathways in model-free methods, (q-space imaging
methods).  An optimized reconstruction technique based on the
generalized q-sampling imaging (GQI) approach is adopted to
reconstruct orientation distribution function (ODF) profiles.
Two methods have been implemented to estimate fibre
orientations. One method implements fibre orientation detection
through local maxima extraction. A second more robust method is
based on directional statistical clustering of ODF voxel data.
Fibre orientations in multiple fibre voxels are estimated using
a mixture of von Mises-Fisher (vMF) distributions. This
statistical estimation procedure is used to resolve crossing
fibre configurations.  Procedures for the visualization of
RGB-maps, line-maps and glyph-maps of real diffusion magnetic
resonance (dMRI) data-sets are included in the package.
LazyData: yes
License: GPL (>= 2)
Repository: CRAN
Date/Publication: 2012-11-28 16:45:35
Packaged: 2012-11-28 10:21:09 UTC; arfs