logistic_reg: Logistic regression
In ant-stephenson/lhc: LHC Higgs Boson Classification Challenge
Description
Usage
Arguments
Value
Description
Fit a logistic regression model by IRWLS.
This is the same method that glm uses when family="binomial".
Usage
1
logistic_reg(X, y, lambda = 0)
Arguments
X
covariate matrix
y
response vector
lambda
[Optional] L2 regularisation parameter, defaults to 0.
r
[Optional] weight vector
Value
b vector of coefficients
ant-stephenson/lhc documentation built on Jan. 28, 2021, 3:47 p.m.
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Description Usage Arguments Value
Description
Fit a logistic regression model by IRWLS. This is the same method that glm uses when family="binomial".
Usage
1 | logistic_reg(X, y, lambda = 0)
|
Arguments
X |
covariate matrix |
y |
response vector |
lambda |
[Optional] L2 regularisation parameter, defaults to 0. |
r |
[Optional] weight vector |
Value
b vector of coefficients
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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