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.
| Version: | 2.0 |
| Depends: | methods, stats, graphics |
| Published: | 2025-09-02 |
| DOI: | 10.32614/CRAN.package.MHDA |
| Author: | Yarong Yang [aut, cre], Jacob Zhang [aut] |
| Maintainer: | Yarong Yang <Yi.YA_yaya at hotmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | MHDA results |
| Reference manual: | MHDA.html , MHDA.pdf |
| Package source: | MHDA_2.0.tar.gz |
| Windows binaries: | r-devel: MHDA_2.0.zip, r-release: MHDA_2.0.zip, r-oldrel: MHDA_2.0.zip |
| macOS binaries: | r-release (arm64): MHDA_2.0.tgz, r-oldrel (arm64): MHDA_2.0.tgz, r-release (x86_64): MHDA_2.0.tgz, r-oldrel (x86_64): MHDA_2.0.tgz |
| Old sources: | MHDA archive |
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