gradient: Gradient function
In ivyleavedtoadflax/vlrr: Vectorised Implementation of Linear Regression with Simple Regularisation
Description
Usage
Arguments
Details
Value
Description
gradient() .
Usage
1
gradient(X, y, theta, lambda)
Arguments
X
Design matrix X.
y
Vector of observations.
theta
Vector of starting values for coefficients of length ncol(X)+1.
lambda
Regularisation parameter.
Details
Internal function supplied to optim which calculates gradient.
Value
Returns the gradient of the current parameters theta.
ivyleavedtoadflax/vlrr documentation built on May 18, 2019, 7:14 a.m.
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Description Usage Arguments Details Value
Description
gradient() .
Usage
1 | gradient(X, y, theta, lambda)
|
Arguments
X |
Design matrix X. |
y |
Vector of observations. |
theta |
Vector of starting values for coefficients of length |
lambda |
Regularisation parameter. |
Details
Internal function supplied to optim which calculates gradient.
Value
Returns the gradient of the current parameters theta.
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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