FRESHD
Fast Robust Estimation of Signals in Heterogeneous Data
Procedure for solving the maximin problem for identical design across heterogeneous data groups. Particularly efficient when the design matrix is either orthogonal or has tensor structure. Orthogonal wavelets can be specified for 1d, 2d or 3d data simply by name. For tensor structured design the tensor components (two or three) may be supplied. The package also provides an efficient implementation of the generic magging estimator.
- Version1.0
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release05/12/2022
Team
Adam Lund
Brandon Whitcher
Show author detailsRolesContributor, Copyright holderBenjamin Stephens
Show author detailsRolesContributor, Copyright holderGael Guennebaud
Show author detailsRolesContributor, Copyright holderAngelo Furfaro
Show author detailsRolesContributor, Copyright holderLuca Di Gaspero
Show author detailsRolesContributor, Copyright holder
Insights
Last 30 days
This package has been downloaded 159 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 7 times.
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Last 365 days
This package has been downloaded 1,997 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 21 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports2 packages
- Linking To3 packages