fastridgeCpp: Faster Ridge Regression
In penppml: Penalized Poisson Pseudo Maximum Likelihood Regression
fastridgeCpp R Documentation
Faster Ridge Regression
Description
Finds Ridge solutions using C++.
Usage
fastridgeCpp(X, y, lambda)
Arguments
X
Regressor matrix.
y
Dependent variable (a vector).
lambda
Penalty parameter (a number).
Value
The vector of parameter (beta) estimates.
penppml documentation built on Sept. 8, 2023, 5:58 p.m.
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| fastridgeCpp | R Documentation |
Faster Ridge Regression
Description
Finds Ridge solutions using C++.
Usage
fastridgeCpp(X, y, lambda)
Arguments
X |
Regressor matrix. |
y |
Dependent variable (a vector). |
lambda |
Penalty parameter (a number). |
Value
The vector of parameter (beta) estimates.
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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