Fields internal and secondary functions

Listed below are supporting functions for the major methods in fields.

# S3 method for class 'spatialDesign'
x[...]

Krig.df.to.lambda(df, D, guess = 1, tol = 1e-05)
Krig.fdf (llam, info)
Krig.fgcv (lam, obj)
Krig.fgcv.model (lam, obj)
Krig.fgcv.one (lam, obj)
Krig.flplike (lambda, obj)
Krig.fs2hat (lam, obj)
Krig.ftrace (lam, D)
Krig.parameters (obj, mle.calc=obj$mle.calc)
Krig.updateY (out, Y, verbose = FALSE, yM=NA)
Krig.which.lambda(out)
Krig.ynew (out, y=NULL, yM=NULL )




bisection.search (x1, x2, f, tol = 1e-07, niter = 25, f.extra =
        NA, upcross.level = 0)

cat.matrix (mat, digits = 8)

cat.to.list (x, a)

ceiling2 (m)

describe (x)

double.exp(x)

dyadic.2check( m,n,cut.p=2)
dyadic.check( n,cut.p=2)

Exp.earth.cov (x1, x2, aRange = 1, theta=NULL)

fast.1way  (lev, y, w = rep(1, length(y)))

find.upcross (fun, fun.info, upcross.level = 0, guess = 1, tol =
1e-05)

gauss.cov (...)


golden.section.search (ax, bx, cx, f, niter = 25, f.extra = NA,
     tol = 1e-05, gridx=NA)

<!-- %fastTps.MLE(...) -->

imagePlotInfo (...,breaks, nlevel)
imageplot.info(...)
imageplot.setup(x, add=FALSE,  legend.shrink = 0.9, legend.width = 1,
horizontal = FALSE, legend.mar=NULL, bigplot = NULL, smallplot = NULL,...)



minimax.crit (obj, des = TRUE, R)


# S3 method for class 'spatialDesign'
plot(x,...)

# S3 method for class 'interp.surface'
predict(object, loc,...)

# S3 method for class 'surface'
predict(object, ...)
# S3 method for class 'surface.default'
predict(object, ...)


# S3 method for class 'spatialDesign'
print (x,...)
# S3 method for class 'sreg'
print(x, ...)
# S3 method for class 'summary.Krig'
print (x, ...)
# S3 method for class 'summarySpatialDesign'
print (x, digits = 4,...)
# S3 method for class 'summary.sreg'
print (x, ...)

printGCVWarnings( Table,  method = "all")

multWendlandGrid( grid.list,center, delta, coef, xy = c(1, 2))

qr.q2ty (qr, y)

qr.yq2 (qr, y)
# S3 method for class 'qsreg'
plot(x, pch = "*", main = NA,...)
# S3 method for class 'qsreg'
predict(object, x, derivative = 0, model = object$ind.cv.ps,...)
# S3 method for class 'qsreg'
print (x, ...)
qsreg.fit (x, y, lam, maxit = 50, maxit.cv = 10,
           tol = 1e-04, offset = 0, sc = sqrt(var(y)) * 1e-07, alpha = 0.5,
           wt = rep(1, length(x)), cost = 1)
qsreg.psi( r,alpha=.5,C=1)
qsreg.sigma( r,alpha=.5,C=1)
qsreg.trace(x, y, lam, maxit = 50, maxit.cv = 10, tol = 1e-04,
             offset = 0, sc = sqrt(var(y)) * 1e-07, alpha = 0.5,
             wt = rep(1, length(x)), cost = 1)
qsreg.sigma.OLD(r, alpha = 0.5, C = 1)
qsreg.psi.OLD(r, alpha = 0.5, C = 1)

quickPrint(obj, max.values = 10)



radbas.constant (m, d)

sreg.df.to.lambda (df, x, wt, guess = 1, tol = 1e-05)
sreg.fdf (h, info)
sreg.fgcv (lam, obj)
sreg.fgcv.model (lam, obj)
sreg.fgcv.one (lam, obj)
sreg.fit (lam, obj, verbose=FALSE)
sreg.fs2hat (lam, obj)
sreg.trace (h, info)

summaryGCV.Krig(object, lambda, cost = 1, verbose = FALSE,
                offset = 0, y = NULL, ...)
summaryGCV.sreg (object, lambda, cost = 1, nstep.cv = 20,
        offset = 0, verbose = TRUE,...)

# S3 method for class 'qsreg'
summary (object, ...)
# S3 method for class 'spatialDesign'
summary (object, digits = 4, ...)
# S3 method for class 'sreg'
summary (object, digits = 4, ...)

surface(object , ...)
# Default S3 method
surface(object, col = viridis(256), ...)

unscale (x, x.center, x.scale)