runvalid: Maximum Run Validity Check
In sisireg: Sign-Simplicity-Regression-Solver
runvalid R Documentation
Maximum Run Validity Check
Description
Checks, if a given regression function is adequate with respect to the maximum run criterium.
Usage
runvalid(dat,mu,k=NULL)
Arguments
dat
obervations.
mu
discrete regression function.
k
optional: maximum run length.
Value
valid
function is valid?
Author(s)
Dr. Lars Metzner
References
Dr. Lars Metzner (2021) Adäquates Maschinelles Lernen.
Independently Published.
Examples
runvalid(sin(seq(-pi, pi, length.out = 200))+rnorm(200)/2,
sin(seq(-pi, pi, length.out = 200)))
sisireg documentation built on Aug. 8, 2025, 7:03 p.m.
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| runvalid | R Documentation |
Maximum Run Validity Check
Description
Checks, if a given regression function is adequate with respect to the maximum run criterium.
Usage
runvalid(dat,mu,k=NULL)
Arguments
dat |
obervations. |
mu |
discrete regression function. |
k |
optional: maximum run length. |
Value
valid |
function is valid? |
Author(s)
Dr. Lars Metzner
References
Dr. Lars Metzner (2021) Adäquates Maschinelles Lernen. Independently Published.
Examples
runvalid(sin(seq(-pi, pi, length.out = 200))+rnorm(200)/2,
sin(seq(-pi, pi, length.out = 200)))
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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