pw.calc: Calculate Partial Weight
In NPRED: Predictor Identifier: Nonparametric Prediction
pw.calc R Documentation
Calculate Partial Weight
Description
Calculate Partial Weight
Usage
pw.calc(x, py, cpy, cpyPIC)
Arguments
x
A vector of response.
py
A matrix containing possible predictors of x.
cpy
The column numbers of the meaningful predictors (cpy).
cpyPIC
Partial informational correlation (cpyPIC).
Value
A vector of partial weights(pw) of the same length of z.
References
Sharma, A., Mehrotra, R., 2014. An information theoretic alternative to model a natural system using observational information alone. Water Resources Research, 50(1): 650-660.
NPRED documentation built on Sept. 11, 2024, 5:30 p.m.
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| pw.calc | R Documentation |
Calculate Partial Weight
Description
Calculate Partial Weight
Usage
pw.calc(x, py, cpy, cpyPIC)
Arguments
x |
A vector of response. |
py |
A matrix containing possible predictors of x. |
cpy |
The column numbers of the meaningful predictors (cpy). |
cpyPIC |
Partial informational correlation (cpyPIC). |
Value
A vector of partial weights(pw) of the same length of z.
References
Sharma, A., Mehrotra, R., 2014. An information theoretic alternative to model a natural system using observational information alone. Water Resources Research, 50(1): 650-660.
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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