icmr: Inductive Confidence Machine for Regression
In dsnavega/icmr: Inductive Confidence Machine for Regression
Description
Usage
Arguments
Value
Author(s)
Description
Reliable regression modeling using an Inductive Confidence Machine based on
Ridge Regression
Usage
1
icmr(x, y, weights = NULL, kernel = F, control = icmr.control())
Arguments
x
a column-oriented matrix or a data.frame of numeric vector(s).
y
a numeric vector
weights
a vector of non-negative weights.
kernel
a logical stating if x is a kernel matrix.
control
a list of parameters created by icmr.control
Value
a icmr object
Author(s)
David Senhora Navega
dsnavega/icmr documentation built on Oct. 25, 2021, 4:14 p.m.
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Description Usage Arguments Value Author(s)
Description
Reliable regression modeling using an Inductive Confidence Machine based on Ridge Regression
Usage
1 | icmr(x, y, weights = NULL, kernel = F, control = icmr.control())
|
Arguments
x |
a column-oriented matrix or a data.frame of numeric vector(s). |
y |
a numeric vector |
weights |
a vector of non-negative weights. |
kernel |
a logical stating if x is a kernel matrix. |
control |
a list of parameters created by |
Value
a icmr object
Author(s)
David Senhora Navega
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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