geospt (version 0.4-9)

criterio.cv: Cross-validation summaries

Description

Generate a data frame of statistical values associated with cross-validation

Usage

criterio.cv(m.cv)

Value

data frame containing: mean prediction errors (MPE), average kriging standard error (ASEPE), root-mean-square prediction errors (RMSPE), mean standardized prediction errors (MSPE), root-mean-square standardized prediction errors (RMSSPE), and coefficient of determination (R2).

Examples

data(meuse) 
coordinates(meuse) <- ~x+y 
m <- vgm(.59, "Sph", 874, .04) 

# leave-one-out cross validation: 
out <- krige.cv(log(zinc)~1, meuse, m, nmax = 40) 
criterio.cv(out)

# multiquadratic function 
data(preci)
attach(preci)

# optimal sigma
tab <- rbf.tcv(sigma=1.488733, z=prec, coordinates=preci[,2:3],
    n.neigh=9, func="M") 
criterio.cv(tab)