rob_trend: Robust linear model on DCT bases
In neuroconductor/fMRIscrub: Scrubbing and Other Data Cleaning Routines for fMRI
Description
Usage
Arguments
Value
Description
Fit a linear model regressing an input vector on DCT bases, robustly.
Usage
1
rob_trend(x, nDCT = 4, lmrob_method = "MM", seed = 0)
Arguments
x
The input vector to regress on DCT bases
nDCT
The number of DCT bases to use. Default: 4
lmrob_method
The lmrob_method argument to robustbase::lmrob.
seed
Set a seed right before the call to robustbase::lmrob?
If NULL, do not set a seed. If numeric (default: 0), will use
as the seed.
Value
The output of robustbase::lmrob
neuroconductor/fMRIscrub documentation built on Dec. 22, 2021, 1:10 a.m.
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Description Usage Arguments Value
Description
Fit a linear model regressing an input vector on DCT bases, robustly.
Usage
1 | rob_trend(x, nDCT = 4, lmrob_method = "MM", seed = 0)
|
Arguments
x |
The input vector to regress on DCT bases |
nDCT |
The number of DCT bases to use. Default: |
lmrob_method |
The |
seed |
Set a seed right before the call to |
Value
The output of robustbase::lmrob
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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