vlrr_est: Vectorised linear regression with regularisation
In ivyleavedtoadflax/vlrr: Vectorised Implementation of Linear Regression with Simple Regularisation
Description
Usage
Arguments
Details
Value
Examples
Description
vlrr_est Main function behind the vlrr package.
Usage
1
Arguments
y
Vector of observations.
lambda
Regularisation parameter.
X
Design matrix x.
Details
Essential a wrapper function for the optim function..
Value
Returns a list giving the original model call, the final gradient
given by the last iteration of the gradient function call, and the
final coefficients.
Examples
1
2
3
suppressPackageStartupMessages(
library(dplyr)
)
ivyleavedtoadflax/vlrr documentation built on May 18, 2019, 7:14 a.m.
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Description Usage Arguments Details Value Examples
Description
vlrr_est Main function behind the vlrr package.
Usage
1 |
Arguments
y |
Vector of observations. |
lambda |
Regularisation parameter. |
X |
Design matrix x. |
Details
Essential a wrapper function for the optim function..
Value
Returns a list giving the original model call, the final gradient
given by the last iteration of the gradient function call, and the
final coefficients.
Examples
1 2 3 | suppressPackageStartupMessages(
library(dplyr)
)
|
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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