update_non_kernel_weights: One instance of the no kernel smoothed general FS-boost...
In kkdey/fineboostR:
View source: R/fineboost_updates.R
update_non_kernel_weights R Documentation
One instance of the no kernel smoothed general FS-boost weights update
Description
One instance of the no kernel smoothed general FS-boost weights update
Usage
update_non_kernel_weights(X, y)
Arguments
X
The design matrix X (N times P) with samples/individuals along the rows
and putatively correlated ordered features (SNPs) along the columns.
y
The response vector of length N
Value
An object with the following items
weights
A new vector of weights of length P based on kernel smoothing around the top feature.
objective
The current value of the objective to be minimized.
corvals
The current values of correlations of the P features with the current residual.
kkdey/fineboostR documentation built on Jan. 1, 2023, 4:48 p.m.
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View source: R/fineboost_updates.R
| update_non_kernel_weights | R Documentation |
One instance of the no kernel smoothed general FS-boost weights update
Description
One instance of the no kernel smoothed general FS-boost weights update
Usage
update_non_kernel_weights(X, y)
Arguments
X |
The design matrix X (N times P) with samples/individuals along the rows and putatively correlated ordered features (SNPs) along the columns. |
y |
The response vector of length N |
Value
An object with the following items
weights |
A new vector of weights of length P based on kernel smoothing around the top feature. |
objective |
The current value of the objective to be minimized. |
corvals |
The current values of correlations of the P features with the current residual. |
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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