PredLGR {CompoundEvents}R Documentation

Prediction of occurrences of compound events

Description

Fit the logistic regression model (LGR) based on occurrences of compound events (Y) and climate indices (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 binvary variable) (L lead time)

CI

Climate index (CI) as the driving factor of compound events (e.g., ENSO)

CI0

The antecedent climate indices

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)
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 0.1.0 Index]