LPALS: compute directions using principal asymmetric least squares
In ansoale/Pals: Linear Principal Asymmetric Least Sqaures
Description
Usage
Arguments
Value
Description
compute directions using principal asymmetric least squares
Usage
1
Arguments
X
A design or model matrix which cannot include categorical variables
Y
A continuous response variable
lambda
A tuning parameter which must be greater than 0
tau
The quantile levels which must be at least two
Value
Returns the directions and their corresponding eigenvalues, and the coefficients of the expectile estimates
ansoale/Pals documentation built on Oct. 5, 2020, 12:02 a.m.
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Description Usage Arguments Value
Description
compute directions using principal asymmetric least squares
Usage
1 |
Arguments
X |
A design or model matrix which cannot include categorical variables |
Y |
A continuous response variable |
lambda |
A tuning parameter which must be greater than 0 |
tau |
The quantile levels which must be at least two |
Value
Returns the directions and their corresponding eigenvalues, and the coefficients of the expectile 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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