estcondmin: Function to optimize
In HeyangGong/estcondmin: Estimation of Conditional Min
Description
Usage
Arguments
Value
Examples
Description
This is a function of estimate the coeficients of some sufficient condition
from the dataset.
Usage
1
estcondmin(y, X, lambda = 0)
Arguments
y
A vector that gives the predict variable
X
A matrix that gives the samples of features
lambda
A number to penalize the complexity of the model
Value
A coeficient of selected feature form the sufficient condition.
Examples
1
2
d = gen_dat()
estcondmin(d$y, d$X, lambda = 0.1)
HeyangGong/estcondmin documentation built on May 19, 2019, 12:40 a.m.
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Description Usage Arguments Value Examples
Description
This is a function of estimate the coeficients of some sufficient condition from the dataset.
Usage
1 | estcondmin(y, X, lambda = 0)
|
Arguments
y |
A vector that gives the predict variable |
X |
A matrix that gives the samples of features |
lambda |
A number to penalize the complexity of the model |
Value
A coeficient of selected feature form the sufficient condition.
Examples
1 2 | d = gen_dat()
estcondmin(d$y, d$X, lambda = 0.1)
|
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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