calc.PIC: Calculate PIC
In zejiang-unsw/NPRED: Predictor Identifier: Nonparametric Prediction
calc.PIC R Documentation
Calculate PIC
Description
Calculate PIC
Usage
calc.PIC(x, y, z, nnmax = 10000, nvarmax = 100)
Arguments
x
A vector of response.
y
A vector of new predictor.
z
A matrix of pre-existing predictors that could be NULL if no prior predictors exist.
nnmax
The maximum number of sample size.
nvarmax
The maximum number of potential predictors.
Value
A list of 2 elements: the partial mutual information (pmi), and partial informational correlation (pic).
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.
zejiang-unsw/NPRED documentation built on Jan. 3, 2024, 11:20 p.m.
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| calc.PIC | R Documentation |
Calculate PIC
Description
Calculate PIC
Usage
calc.PIC(x, y, z, nnmax = 10000, nvarmax = 100)
Arguments
x |
A vector of response. |
y |
A vector of new predictor. |
z |
A matrix of pre-existing predictors that could be NULL if no prior predictors exist. |
nnmax |
The maximum number of sample size. |
nvarmax |
The maximum number of potential predictors. |
Value
A list of 2 elements: the partial mutual information (pmi), and partial informational correlation (pic).
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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