Package: biosensors.usc 1.0
Juan C. Vidal
biosensors.usc: Distributional Data Analysis Techniques for Biosensor Data
Unified and user-friendly framework for using new distributional representations of biosensors data in different statistical modeling tasks: regression models, hypothesis testing, cluster analysis, visualization, and descriptive analysis. Distributional representations are a functional extension of compositional time-range metrics and we have used them successfully so far in modeling glucose profiles and accelerometer data. However, these functional representations can be used to represent any biosensor data such as ECG or medical imaging such as fMRI. Matabuena M, Petersen A, Vidal JC, Gude F. "Glucodensities: A new representation of glucose profiles using distributional data analysis" (2021) <doi:10.1177/0962280221998064>.
Authors:
biosensors.usc_1.0.tar.gz
biosensors.usc_1.0.tar.gz(r-4.5-noble)biosensors.usc_1.0.tar.gz(r-4.4-noble)
biosensors.usc_1.0.tgz(r-4.4-emscripten)biosensors.usc_1.0.tgz(r-4.3-emscripten)
biosensors.usc.pdf |biosensors.usc.html✨
biosensors.usc/json (API)
| # Install 'biosensors.usc' in R: |
| install.packages('biosensors.usc', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:7e323694b5. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 03 2024 |
| R-4.5-linux-x86_64 | NOTE | Dec 03 2024 |
Exports:clusteringclustering_predictiongenerate_datahypothesis_testingload_datanadayara_predictionnadayara_regressionregmod_predictionregmod_regressionridge_regression
Dependencies:ashbitopsbootcliclustercodetoolscolorspacedeSolvedoParallelenergyevaluatefansifarverfdafda.uscfdsFNNforeachggplot2gluegslgtablehdrcdehighrisobanditeratorskernlabKernSmoothknitrkskSampleslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmeosqpparallelDistpcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRcppArmadilloRcppParallelRCurlrlangscalesSuppDiststibbletruncnormutf8vctrsviridisLitewithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| biosensors.usc Package | biosensors.usc |
| clustering | clustering |
| clustering_prediction | clustering_prediction |
| generate_data | generate_data |
| hypothesis_testing | hypothesis_testing |
| load_data | load_data |
| nadayara_prediction | nadayara_prediction |
| nadayara_regression | nadayara_regression |
| regmod_prediction | regmod_prediction |
| regmod_regression | regmod_regression |
| ridge_regression | ridge_regression |
