Package: MHDA 2.0
Yarong Yang
MHDA: Massive Hierarchically Data Analysis
Three main functions about analyzing massive data (missing observations are allowed) considered from multiple layers of categories are demonstrated. Flexible and diverse applications of the function parameters make the data analyses powerful.
Authors:
MHDA_2.0.tar.gz
MHDA_2.0.tar.gz(r-4.7-any)MHDA_2.0.tar.gz(r-4.6-any)
MHDA_2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MHDA/json (API)
| # Install 'MHDA' in R: |
| install.packages('MHDA', 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 from:e32d030de4. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 96 | ||
| source / vignettes | OK | 142 | ||
| linux-release-x86_64 | OK | 104 | ||
| wasm-release | OK | 75 |
Exports:MHDAMHDA.plotSteps.analysis
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Massive Hierarchically Data Analysis | MHDA-package |
| Massive Hierarchically Data Analysis | MHDA |
| Plotting Results from Massive Hierarchically Data Analysis | MHDA.plot |
| Class to contain the MHDA results for a single unit. | Res.mhda.1-class |
| Class to contain the MHDA results for Category.I and Category.II. | Res.mhda.2-class |
| Stepwise analysis of a series of numeric observations on multiple levels of rhythms | Steps.analysis |