Package: skiftiTools 0.1.0

Ilkka Suuronen

skiftiTools: Tools and Operations for Reading, Writing, Viewing, and Manipulating SKIFTI Files

SKIFTI files contain brain imaging data in coordinates across Tract Based Spatial Statistics (TBSS) skeleton, which represent the brain white matter intensity values. 'skiftiTools' provides a unified environment for reading, writing, visualizing and manipulating SKIFTI-format data. It supports the "subsetting", "concatenating", and using data as data.frame for R statistical functions. The SKIFTI data is structured for convenient access to the data and metadata, and includes support for visualizations. For more information see Merisaari et al. (2024) <doi:10.57736/87d2-0608>.

Authors:Harri Merisaari [aut], Ilkka Suuronen [cre]

skiftiTools_0.1.0.tar.gz
skiftiTools_0.1.0.zip(r-4.7)skiftiTools_0.1.0.zip(r-4.6)skiftiTools_0.1.0.zip(r-4.5)
skiftiTools_0.1.0.tgz(r-4.6-any)skiftiTools_0.1.0.tgz(r-4.5-any)
skiftiTools_0.1.0.tar.gz(r-4.7-any)skiftiTools_0.1.0.tar.gz(r-4.6-any)
skiftiTools_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
skiftiTools/json (API)

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

Bug tracker:https://github.com/haanme/skiftitools/issues

On CRAN:

Conda:

3.18 score 1 stars 5 scripts 150 downloads 8 exports 69 dependencies

Last updated from:8d178f7888. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK195
source / vignettesOK278
linux-release-x86_64OK194
macos-release-arm64OK146
macos-oldrel-arm64OK161
windows-develOK159
windows-releaseOK102
windows-oldrelOK134
wasm-releaseOK177

Exports:concatNifti2SkiftireadSkiftisave_skeletonSkifti2CSVSkifti2NiftisubsetwriteSkifti

Dependencies:abindbase64encBHbigmemorybigmemory.sribslibcachemcliClimProjDiagscodetoolsdigestdoParalleleasyNCDFeasyVerificationevaluatefastmapfontawesomeforeachfsgluegswhighrhtmltoolshtmlwidgetsiteratorsjquerylibjsonliteknitrlatticelifecyclemagrittrmapprojmapsMASSmemoisemimemultiApplyNbClustncdf4ocepbapplyplyrpngR.methodsS3R.ooR.utilsR6rappdirsRcppRcppArmadilloRcppEigenrglrlangrmarchingcubesrmarkdownRNiftiRvcgs2dvsasssignalSpecsVerificationstringistringrtinytexuuidvctrsxfunyamlzoo