PredLGR {CompoundEvents} | R Documentation |
Prediction of compound event occurrences
Description
Fit the logistic regression model (LGR) based on occurrences of compound events (Y) and climate index (CI).The output is the predicted probability of compound event occurrence for the given climate index value CI0
Usage
PredLGR(Y,CI,CI0)
Arguments
Y |
Occurrences of compound dry-hot events (0-1 binary variable) (L lead time) |
CI |
Climate index (CI) as the driving factor of compound events (e.g., ENSO) |
CI0 |
Specified CI value based on which the prediction is issued |
Value
Probability of occurrences estimated at CI0
References
Hao, Z. et al. (2019). Statistical prediction of the severity of compound dry-hot events based on ENSO . J. Hydrol., 572: 243-250.
Examples
CI=c(-0.7,-1.2,1.3,0.7,-0.6,1.1,-0.5,0.8,0.5,-0.5,1.6,-1.8,-0.5,-1.4,-0.1,2.2,-0.7,-1.1, 0.6, -1.7)
Y=c(0,0,1,1,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0 )
PredLGR(Y,CI,2)
[Package CompoundEvents version 0.3.0 Index]