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
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mritc.pdf |mritc.html
mritc/json (API)

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

Peer review:

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

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

On CRAN:

2.08 score 1 stars 12 scripts 205 downloads 14 exports 7 dependencies

Last updated 2 years agofrom:2cb91934ff. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-win-x86_64OKNov 17 2024
R-4.5-linux-x86_64OKNov 17 2024
R-4.4-win-x86_64OKNov 17 2024
R-4.4-mac-x86_64OKNov 17 2024
R-4.4-mac-aarch64OKNov 17 2024
R-4.3-win-x86_64OKNov 17 2024
R-4.3-mac-x86_64OKNov 17 2024
R-4.3-mac-aarch64OKNov 17 2024

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

Dependencies:abindbitopslatticemisc3doro.niftiRcppRNifti