spT.validation2: Validation Commands

In spTimer: Spatio-Temporal Bayesian Modelling

Validation Commands

Description

The following function is used to validate the predicted observations with the actual values based on some threshold.

Usage

spT.validation2(z,zhat,cutoff,names=FALSE)

Arguments

z	The original values (matrix or vector).
zhat	The predicted values (matrix or vector).
cutoff	The threshold value or cut-off point.
names	Logical, if TRUE then print the names of the validation statistics.

Value

TPR	True Positive Rate, Sensitivity, Hit rate, Recall
FPR	False Positive Rate, False alarm
FNR	False Negative Rate, Miss rate
TNR	True Negative Rate, Specificity
Prevalence	Prevalence
Accuracy	Accuracy
Precision	Precision, Positive Predictive Value
FOR	False Ommission Rate
LRp	Positive Likelihood Ratio
LRn	Negative Likelihood Ratio
FDR	False Discovery Rate
NPV	Negative Predictive Value
DOR	Diagnostic Odds Ratio
F1score	F1 score
Heidke.Skill	Heidke Skill

See Also

spT.pCOVER,spT.validation.

Examples

##

# Create `x', which is the true values.
# Create `y', which is the predicted values.

x <- rnorm(100,0,0.1)
y <- rnorm(100,0,1)
spT.validation2(x, y, cutoff=0,names=TRUE)

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spTimer documentation built on Sept. 11, 2024, 6:25 p.m.