calc_tau: Exploring results for different values of kernel smoothing...
In kkdey/fineboostR:
View source: R/fineboost_updates.R
calc_tau R Documentation
Exploring results for different values of kernel smoothing parameter
Description
Exploring results for different values of kernel smoothing parameter
Usage
calc_tau(X, Y, maxsize = 10)
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
maxsize
the maximum number of non-zero causal loci based on L0Learn.
Value
The objective function calculation for different choices of tau.
kkdey/fineboostR documentation built on Jan. 1, 2023, 4:48 p.m.
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View source: R/fineboost_updates.R
| calc_tau | R Documentation |
Exploring results for different values of kernel smoothing parameter
Description
Exploring results for different values of kernel smoothing parameter
Usage
calc_tau(X, Y, maxsize = 10)
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 |
maxsize |
the maximum number of non-zero causal loci based on L0Learn. |
Value
The objective function calculation for different choices of tau.
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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