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