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✨
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 185 downloads 14 exports 7 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK176
linux-devel-x86_64OK135
source / vignettesOK193
linux-release-arm64OK134
linux-release-x86_64OK125
macos-release-arm64OK133
macos-release-x86_64OK326
macos-oldrel-arm64OK142
macos-oldrel-x86_64OK431
windows-develOK97
windows-releaseOK95
windows-oldrelOK108
wasm-releaseOK96

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

Dependencies:abindbitopslatticemisc3doro.niftiRcppRNifti