rrcov3way
Robust Methods for Multiway Data Analysis, Applicable also for Compositional Data
Provides methods for multiway data analysis by means of Parafac and Tucker 3 models. Robust versions (Engelen and Hubert (2011) doi:10.1016/j.aca.2011.04.043) and versions for compositional data are also provided (Gallo (2015) doi:10.1080/03610926.2013.798664, Di Palma et al. (2018) doi:10.1080/02664763.2017.1381669). Several optimization methods alternative to ALS are available (Simonacci and Gallo (2019) doi:10.1016/j.chemolab.2019.103822, Simonacci and Gallo (2020) doi:10.1007/s00500-019-04320-9).
- Version0.5-0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release02/06/2024
Documentation
Team
Valentin Todorov
Violetta Simonacci
Show author detailsRolesAuthorMaria Anna Di Palma
Show author detailsRolesAuthorMichele Gallo
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 222 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
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Last 365 days
This package has been downloaded 3,218 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 44 downloads.
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Dependencies
- Imports5 packages
- Suggests4 packages