spT.validation: Validation Commands
In jmarca/spTimer: Spatio-Temporal Bayesian Modelling

Description Usage Arguments Value See Also Examples

The following function is used to validate the predicted observations with the actual values.

1	spT.validation(z, zhat, names=FALSE)

`z`	The original values (matrix or vector).
`zhat`	The predicted values (matrix or vector).
`names`	Logical, if TRUE then print the names of the validation statistics.

`MSE`	Mean Squared Error.
`RMSE`	Root Mean Squared Error.
`MAE`	Mean Absolute Error.
`MAPE`	Mean Absolute Percentage Error.
`BIAS`	Bias.
`rBIAS`	Relative Bias.
`rMSEP`	Relative Mean Separation.

spT.pCOVER.

##

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

x <- rnorm(10,5,0.1)
y <- rnorm(10,5,1)
spT.validation(x, y)

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