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FRESHD (version 1.0)

Fast Robust Estimation of Signals in Heterogeneous Data

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.

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Version

Install

install.packages('FRESHD')

Monthly Downloads

75

Version

1.0

License

GPL

Maintainer

Adam Lund

Last Published

May 12th, 2022

Functions in FRESHD (1.0)

RH

The Rotated H-transform of a 3d Array by a Matrix
predict.FRESHD

Make Prediction From a FRESHD Object
maximin

Maximin signal estimation
magging

Maximin Aggregation
wt

Discrete wavelet transform
iwt

Inverse discrete wavelet transform
print.FRESHD

Print Function for objects of Class FRESHD