getWls: compute weighted least square
In sverchkov/BaselineRegularization: Baseline Regularization
Description
Usage
Arguments
Value
Author(s)
Description
solve a weighted least square problem
it can be reugularized by a ridge penaly
currently only support one lambda at a time
Usage
1
getWls(y, X, w, lambda, thresh = 1e-07)
Arguments
y
response
X
features
w
weights
lambda
ridge regularization strength
thresh
defaut to be 1e-7, convergence criterion of
glmnet
Value
beta the regression coefficient
Author(s)
Zhaobin Kuang
sverchkov/BaselineRegularization documentation built on May 9, 2019, 1:26 p.m.
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Description Usage Arguments Value Author(s)
Description
solve a weighted least square problem it can be reugularized by a ridge penaly currently only support one lambda at a time
Usage
1 | getWls(y, X, w, lambda, thresh = 1e-07)
|
Arguments
y |
response |
X |
features |
w |
weights |
lambda |
ridge regularization strength |
thresh |
defaut to be 1e-7, convergence criterion of glmnet |
Value
beta the regression coefficient
Author(s)
Zhaobin Kuang
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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