Package: dpmixsim
Version: 0.0-8
Date: 2012-07-24
Title: Dirichlet Process Mixture model simulation for clustering and
image segmentation
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, cluster
Description: The package implements a Dirichlet Process Mixture (DPM)
model for clustering and image segmentation. The DPM model is
a Bayesian nonparametric methodology that relies on MCMC
simulations for exploring mixture models with an unknown number
of components. The code implements conjugate models with
normal structure (conjugate normal-normal DP mixture model).
The package's applications are oriented towards the
classification of magnetic resonance images according to tissue
type or region of interest.
License: GPL (>= 2)
Repository: CRAN
Packaged: 2012-07-24 15:33:15 UTC; arfs
Date/Publication: 2012-07-25 06:29:31
Package: cudaBayesreg
Version: 0.3-16
Date: 2015-01-07
Title: CUDA Parallel Implementation of a Bayesian Multilevel Model for
fMRI Data Analysis
Author: Adelino Ferreira da Silva <afs@fct.unl.pt>
Maintainer: Adelino Ferreira da Silva <afs@fct.unl.pt>
Depends: R (>= 3.0.0), cudaBayesregData, oro.nifti
SystemRequirements: nvcc (release >= 3.1) (NVIDIA Cuda Compiler
driver); Linux operating system; GNU make.
Description: Compute Unified Device Architecture (CUDA) is a software
platform for massively parallel high-performance computing on
NVIDIA GPUs. This package provides a CUDA implementation of a
Bayesian multilevel model for the analysis of brain fMRI data.
A fMRI data set consists of time series of volume data in 4D
space. Typically, volumes are collected as slices of 64 x 64
voxels. Analysis of fMRI data often relies on fitting linear
regression models at each voxel of the brain. The volume of the
data to be processed, and the type of statistical analysis to
perform in fMRI analysis, call for high-performance computing
strategies. In this package, the CUDA programming model uses a
separate thread for fitting a linear regression model at each
voxel in parallel. The global statistical model implements a
Gibbs Sampler for hierarchical linear models with a normal
prior. This model has been proposed by Rossi, Allenby and
McCulloch in `Bayesian Statistics and Marketing', Chapter 3,
and is referred to as `rhierLinearModel' in the R-package
bayesm. A notebook equipped with a NVIDIA `GeForce 8400M GS'
card having Compute Capability 1.1 has been used in the tests.
The data sets used in the package's examples are available in
the separate package cudaBayesregData.
LazyData: yes
NeedsCompilation: yes
License: GPL (>= 2)
URL: http://www.r-project.org
Repository: CRAN
Packaged: 2015-01-07 14:09:21 UTC; arfs
Date/Publication: 2015-01-07 16:10:12
Encoding: UTF-8
Package: COMBIA
Type: Package
Title: Synergy/Antagonism Analyses of Drug Combinations
Version: 1.0-4
Date: 2015-07-24
Author: Muhammad Kashif
Maintainer: Muhammad Kashif <Muhammad.Kashif@medsci.uu.se>
Description: A comprehensive synergy/antagonism analyses of drug combinations with
quality graphics and data. The analyses can be performed by Bliss independence and Loewe
additivity models. COMBIA provides improved statistical analysis and makes only very weak assumption of data variability
while calculating bootstrap intervals (BIs). Finally, package saves analyzed data,
2D and 3D plots ready to use in research publications. COMBIA does not require manual
data entry. Data can be directly input from wetlab experimental platforms
for example fluostar, automated robots etc. One needs to call a single function only
to perform all analysis (examples are provided with sample data).
Depends: hash, gdata, lattice, latticeExtra, oro.nifti
Imports: grDevices, stats, utils
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2015-07-26 08:41:27 UTC; dawood
Repository: CRAN
Date/Publication: 2015-07-26 18:53:01
Package: fslr
Type: Package
Title: Wrapper Functions for FSL (FMRIB Software Library) from
Functional MRI of the Brain (FMRIB)
Version: 1.6.4.0
Date: 2016-05-24
Author: John Muschelli <muschellij2@gmail.com>
Maintainer: John Muschelli <muschellij2@gmail.com>
Description: Wrapper functions that interface with FSL (http://
fsl.fmrib.ox.ac.uk/fsl/fslwiki/), a powerful and commonly-used neuroimaging
software, using system commands. The goal is to be able to interface with FSL
completely in R, where you pass R objects of class "nifti", implemented by
package 'oro.nifti', and the function executes an FSL command and returns an R
object of class "nifti" if desired.
Imports: methods, matrixStats, R.utils, scales, graphics, grDevices, stats
Depends: stringr, oro.nifti (>= 0.5.0)
License: GPL-3
VignetteBuilder: knitr
Suggests: knitr
BugReports: https://github.com/muschellij2/fslr/issues
SystemRequirements: FSL (http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/)
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-25 15:29:55 UTC; johnmuschelli
Repository: CRAN
Date/Publication: 2016-05-25 18:09:10
Package: brainR
Type: Package
Title: Helper functions to misc3d and rgl packages for brain imaging
Version: 1.2
Date: 2013-07-29
Author: John Muschelli III
Maintainer: John Muschelli III <muschellij2@gmail.com>
Description: This includes functions for creating 3D and 4D images using WebGL, RGL, and JavaScript Commands. This package relies on the X ToolKit (XTK, https://github.com/xtk/X#readme).
License: GPL-2
LazyData: true
Depends: rgl, misc3d, oro.nifti
Collate: 'makeScene.R' 'write4D.file.R' 'write4D.R'
'writeWebGL_split.R' 'brainR-package.R' 'scene4d.R'
'writeTrianglesSTL.R'
Copyright: MNI152_T1_2mm_brain.nii.gz from Copyright (C) 1993-2009
Louis Collins, McConnell Brain Imaging Centre, Montreal
Neurological Institute, McGill University 6th generation
non-linear symmetric brain
Packaged: 2014-03-18 18:45:14 UTC; johnmuschelli
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-03-18 21:45:52
providing 
.