Package: adept 1.2
adept: Adaptive Empirical Pattern Transformation
Designed for optimal use in performing fast, accurate walking strides segmentation from high-density data collected from a wearable accelerometer worn during continuous walking activity.
Authors:
adept_1.2.tar.gz
adept_1.2.zip(r-4.5)adept_1.2.zip(r-4.4)adept_1.2.zip(r-4.3)
adept_1.2.tgz(r-4.4-any)adept_1.2.tgz(r-4.3-any)
adept_1.2.tar.gz(r-4.5-noble)adept_1.2.tar.gz(r-4.4-noble)
adept_1.2.tgz(r-4.4-emscripten)adept_1.2.tgz(r-4.3-emscripten)
adept.pdf |adept.html✨
adept/json (API)
NEWS
# Install 'adept' in R: |
install.packages('adept', repos = c('https://martakarass.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/martakarass/adept/issues
Last updated 4 years agofrom:d7165add91. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | OK | Nov 01 2024 |
R-4.5-linux | OK | Nov 01 2024 |
R-4.4-win | OK | Nov 01 2024 |
R-4.4-mac | OK | Nov 01 2024 |
R-4.3-win | OK | Nov 01 2024 |
R-4.3-mac | OK | Nov 01 2024 |
Exports:scaleTemplatesegmentPatternsegmentWalkingsimilarityMatrixwindowSmooth
Dependencies:base64encbslibcachemclicolorspacecpp11cubaturedata.tableDBIdigestdplyrdvmiscevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolsisobandjquerylibjsonlitekableExtraknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimeminqamitoolsmunsellmvtnormnlmenumDerivpillarpkgconfigpracmaR6rappdirsrbenchmarkRColorBrewerRcppRcppArmadillorlangrmarkdownrstudioapisassscalesstringistringrsurveysurvivalsvglitesystemfontstabtibbletidyselecttinytexutf8vctrsviridisLitewithrxfunxml2yaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Templates Scaling | scaleTemplate |
Pattern Segmentation From a Time-series via ADEPT | segmentPattern |
Walking Stride Pattern Segmentation from Raw Accelerometry Data via ADEPT | segmentWalking |
ADEPT Similarity Matrix Computation | similarityMatrix |
Fast Computation of Moving Window Average | windowSmooth |