weighted_slr: Weighted simple linear regression
In neuroconductor-devel/mimosa: 'MIMoSA': A Method for Inter-Modal Segmentation Analysis
Description
Usage
Arguments
Value
Description
Returns parameters from weighted regression of y on x (primary) and x on y (secondary, "reverse")
Usage
1
weighted_slr(x, y, wts, mInds, refImg = NULL)
Arguments
x
independent modality matrix of nhood values (primary)
y
dependent modality matrix of nhood values (primary)
wts
vector of kernel weights
mInds
indices for which to compute IMCo
refImg
reference image for header info
Value
L list including intercept and slope from both weighted SLRs
neuroconductor-devel/mimosa documentation built on Sept. 21, 2019, 6:24 p.m.
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Description Usage Arguments Value
Description
Returns parameters from weighted regression of y on x (primary) and x on y (secondary, "reverse")
Usage
1 | weighted_slr(x, y, wts, mInds, refImg = NULL)
|
Arguments
x |
independent modality matrix of nhood values (primary) |
y |
dependent modality matrix of nhood values (primary) |
wts |
vector of kernel weights |
mInds |
indices for which to compute IMCo |
refImg |
reference image for header info |
Value
L list including intercept and slope from both weighted SLRs
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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