betahat_GD_R: betahat_GD_R
In FrancescoBarile/OurProject: OurPackage
View source: R/GradientDescent_R.R
Description
This function estimates the beta vector of a linear Regression model via
gradient descend method
Usage
1
betahat_GD_R(beta, x, y, tolerance, maxit, stepsize)
Arguments
beta
numeric vector containing an initial guess for the beta vector
x
design matrix
y
response variable vector
tolerance
tolerance level
maxit
maximun number of iteration
stepsize
learning parameter
FrancescoBarile/OurProject documentation built on Dec. 17, 2021, 8:30 p.m.
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View source: R/GradientDescent_R.R
Description
This function estimates the beta vector of a linear Regression model via gradient descend method
Usage
1 | betahat_GD_R(beta, x, y, tolerance, maxit, stepsize)
|
Arguments
beta |
numeric vector containing an initial guess for the beta vector |
x |
design matrix |
y |
response variable vector |
tolerance |
tolerance level |
maxit |
maximun number of iteration |
stepsize |
learning parameter |
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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