Package: mritc 0.5-3

mritc: MRI Tissue Classification

Implements various methods for tissue classification in magnetic resonance (MR) images of the brain, including normal mixture models and hidden Markov normal mixture models, as outlined in Feng & Tierney (2011) <doi:10.18637/jss.v044.i07>. These methods allow a structural MR image to be classified into gray matter, white matter and cerebrospinal fluid tissue types.

Authors:Dai Feng [aut], Luke Tierney [aut], Jon Clayden [cre, aut]

mritc_0.5-3.tar.gz
mritc_0.5-3.zip(r-4.7)mritc_0.5-3.zip(r-4.6)mritc_0.5-3.zip(r-4.5)
mritc_0.5-3.tgz(r-4.6-x86_64)mritc_0.5-3.tgz(r-4.6-arm64)mritc_0.5-3.tgz(r-4.5-x86_64)mritc_0.5-3.tgz(r-4.5-arm64)
mritc_0.5-3.tar.gz(r-4.7-arm64)mritc_0.5-3.tar.gz(r-4.7-x86_64)mritc_0.5-3.tar.gz(r-4.6-arm64)mritc_0.5-3.tar.gz(r-4.6-x86_64)
mritc_0.5-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mritc/json (API)

# Install 'mritc' in R:
install.packages('mritc', repos = c('https://jonclayden.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jonclayden/mritc/issues

Uses libs:
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openmp

2.08 score 1 stars 12 scripts 234 downloads 14 exports 7 dependencies

Last updated from:2cb91934ff. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK160
linux-devel-x86_64OK135
source / vignettesOK161
linux-release-arm64OK141
linux-release-x86_64OK149
macos-release-arm64OK89
macos-release-x86_64OK242
macos-oldrel-arm64OK102
macos-oldrel-x86_64OK224
windows-develOK102
windows-releaseOK97
windows-oldrelOK100
wasm-releaseOK103

Exports:emnormmixinitOtsuinitPropmakeMRIspatialmeasureMRImritcmritc.bayesmritc.emmritc.hmrfemmritc.icmmritc.pvhmrfemreadMRIrnormmixwriteMRI

Dependencies:abindbitopslatticemisc3doro.niftiRcppRNifti