PredictionLGR: Prediction of occurrences of compound events

In CompoundEvents: A package for compound events modeling and assessment

Description

Fit the logistic regression model (LGR) based on occurrences of compound events (Y01) and climate indices (CI).The output is the predicted probability of compound event occurrence for the given climate index value CI0

Usage

PredictionLGR(CI,Y01,CI0)

Arguments

CI	Climate index (CI) as the driving factor of compound events (e.g., ENSO)
Y01	Occurrences of compound dry-hot events (0-1 binvary variable) (L lead time)
CI0	The antecedent climate indices (L lead time)

Value

Probability of occurrences

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)
Y01=c(0,0,1,1,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0 )
PredictionLGR(CI,Y01,2)

CompoundEvents documentation built on Dec. 1, 2019, 3 p.m.