Package: cmR 1.1

Volker Schmid

cmR: Analysis of Cardiac Magnetic Resonance Images

Computes maximum response from Cardiac Magnetic Resonance Images using spatial and voxel wise spline based Bayesian model. This is an implementation of the methods described in Schmid (2011) <doi:10.1109/TMI.2011.2109733> "Voxel-Based Adaptive Spatio-Temporal Modelling of Perfusion Cardiovascular MRI". IEEE TMI 30(7) p. 1305 - 1313.

Authors:Volker Schmid [aut, cre]

cmR_1.1.tar.gz
cmR_1.1.zip(r-4.5)cmR_1.1.zip(r-4.4)cmR_1.1.zip(r-4.3)
cmR_1.1.tgz(r-4.5-any)cmR_1.1.tgz(r-4.4-any)cmR_1.1.tgz(r-4.3-any)
cmR_1.1.tar.gz(r-4.5-noble)cmR_1.1.tar.gz(r-4.4-noble)
cmR_1.1.tgz(r-4.4-emscripten)cmR_1.1.tgz(r-4.3-emscripten)
cmR.pdf |cmR.html✨
cmR/json (API)
NEWS

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

Bug tracker:https://github.com/bioimaginggroup/cmr/issues

Pkgdown site:https://bioimaginggroup.github.io

Datasets:

On CRAN:

Conda:

4.00 score 2 stars 9 scripts 285 downloads 7 exports 9 dependencies

Last updated 2 years agofrom:68b32e4cfe. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 10 2025
R-4.5-winOKMar 10 2025
R-4.5-macOKMar 10 2025
R-4.5-linuxOKMar 10 2025
R-4.4-winOKMar 10 2025
R-4.4-macOKMar 10 2025
R-4.4-linuxOKMar 10 2025
R-4.3-winOKMar 10 2025
R-4.3-macOKMar 10 2025

Exports:bullseyecmrcmr.localcmr.spaceimageMBFpseudobullseyermvnormcanon

Dependencies:dotCall64fieldslatticemapsMatrixplotrixRcppspamviridisLite

CMR usage on example data set

Rendered fromcmr-usage.html.asisusingR.rsp::asison Mar 10 2025.

Last update: 2021-03-23
Started: 2021-03-23