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FRESHD  

Fast Robust Estimation of Signals in Heterogeneous Data
View on CRAN: Click here


Download and install FRESHD package within the R console
Install from CRAN:
install.packages("FRESHD")

Install from Github:
library("remotes")
install_github("cran/FRESHD")

Install by package version:
library("remotes")
install_version("FRESHD", "1.0")



Attach the package and use:
library("FRESHD")
Maintained by
Adam Lund
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-12
Latest Update: 2022-05-12
Description:
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.
How to cite:
Adam Lund (2022). FRESHD: Fast Robust Estimation of Signals in Heterogeneous Data. R package version 1.0, https://cran.r-project.org/web/packages/FRESHD. Accessed 26 Aug. 2026.
Previous versions and publish date:
1.0 (2022-05-12 10:00), (2026-07-09 08:03)
Other packages that cited FRESHD R package
View FRESHD citation profile
Other R packages that FRESHD depends, imports, suggests or enhances
Complete documentation for FRESHD
Functions, R codes and Examples using the FRESHD R package
Some associated functions: RH . iwt . magging . maximin . predict.FRESHD . print.FRESHD . wt . 
Some associated R codes: FRESHD.R . FRESHD_RH.R . FRESHD_predict.R . FRESHD_print.R . RcppExports.R . idwt.R . magging.R .  Full FRESHD package functions and examples
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