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:

4.00 score 2 stars 9 scripts 261 downloads 7 exports 9 dependencies

Last updated 2 years agofrom:68b32e4cfe. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 08 2025
R-4.5-winOKFeb 08 2025
R-4.5-macOKFeb 08 2025
R-4.5-linuxOKFeb 08 2025
R-4.4-winOKFeb 09 2025
R-4.4-macOKFeb 08 2025
R-4.3-winOKFeb 08 2025
R-4.3-macOKFeb 08 2025

Exports:bullseyecmrcmr.localcmr.spaceimageMBFpseudobullseyermvnormcanon

Dependencies:dotCall64fieldslatticemapsMatrixplotrixRcppspamviridisLite

CMR usage on example data set

Rendered fromcmr-usage.html.asisusingR.rsp::asison Feb 08 2025.

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