pic.calc: Calculate PIC
In NPRED: Predictor Identifier: Nonparametric Prediction
pic.calc R Documentation
Calculate PIC
Description
Calculate PIC
Usage
pic.calc(X, Y, Z = NULL)
Arguments
X
A vector of response.
Y
A matrix of new predictors.
Z
A matrix of pre-existing predictors that could be NULL if no prior predictors exist.
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.
Galelli S., Humphrey G.B., Maier H.R., Castelletti A., Dandy G.C. and Gibbs M.S. (2014) An evaluation framework for input variable selection algorithms for environmental data-driven models, Environmental Modelling and Software, 62, 33-51, DOI: 10.1016/j.envsoft.2014.08.015.
NPRED documentation built on Sept. 11, 2024, 5:30 p.m.
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| pic.calc | R Documentation |
Calculate PIC
Description
Calculate PIC
Usage
pic.calc(X, Y, Z = NULL)
Arguments
X |
A vector of response. |
Y |
A matrix of new predictors. |
Z |
A matrix of pre-existing predictors that could be NULL if no prior predictors exist. |
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.
Galelli S., Humphrey G.B., Maier H.R., Castelletti A., Dandy G.C. and Gibbs M.S. (2014) An evaluation framework for input variable selection algorithms for environmental data-driven models, Environmental Modelling and Software, 62, 33-51, DOI: 10.1016/j.envsoft.2014.08.015.
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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