Package: GENEAclassify 1.5.5

GENEAclassify: Segmentation and Classification of Accelerometer Data

Segmentation and classification procedures for data from the 'Activinsights GENEActiv' <https://activinsights.com/technology/geneactiv/> accelerometer that provides the user with a model to guess behaviour from test data where behaviour is missing. Includes a step counting algorithm, a function to create segmented data with custom features and a function to use recursive partitioning provided in the function rpart() of the 'rpart' package to create classification models.

Authors:Chris Campbell [aut], Aimee Gott [aut], Joss Langford [aut], Charles Sweetland [aut], Penny Sweetland [aut], Jia Ying Chua [aut, cre], Activinsights Ltd [cph]

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

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

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.71 score 1 stars 51 scripts 461 downloads 27 exports 9 dependencies

Last updated 9 months agofrom:e0f62e37b3. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 18 2024
R-4.5-winOKOct 18 2024
R-4.5-linuxOKOct 18 2024
R-4.4-winOKOct 18 2024
R-4.4-macOKOct 18 2024
R-4.3-winOKOct 18 2024
R-4.3-macOKOct 18 2024

Exports:abssumdiffchangeTimesCirDispCirKurtCirSDCirSkewCirVarclassifyGENEAcreateGENEAmodeldataImportdegreesfeaturesGENEAcountGENEAratioGENEAskewgetGENEAsegmentsimpactmeandiffMeanDirradiansremoveShortSegmentssddiffsegmentationsodstepCountersumdiffupdown

Dependencies:bitopschangepointGENEAreadlatticeMASSmmaprpartsignalzoo

GENEAclassifyDemo

Rendered fromGENEAclassifyDemo.rmdusingknitr::rmarkdownon Oct 18 2024.

Last update: 2024-02-20
Started: 2022-09-25