PredLGR {CompoundEvents} | R Documentation |
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
PredLGR(Y,CI,CI0)
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 |
Probability of occurrences
Hao, Z. et al. (2019). Statistical prediction of the severity of compound dry-hot events based on ENSO . J. Hydrol., 572: 243-250.
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)