COR (dat)
D4transform.image (x, inv = FALSE, transpose = FALSE, cut.min = 8)
FIELDS.version Krig.coef (out, u = NULL, lambda = NULL, yM = NULL)
Krig.df.to.lambda (df, D, guess = 1, tol = 1e-05)
Krig.discretize (x, m = 64, n = 64, xg = NULL, yg = NULL, grid
= NULL, expand = c(1, 1))
Krig.fdf (llam, info)
Krig.fgcv (lam, obj)
Krig.fgcv.model (lam, obj)
Krig.fgcv.one (lam, obj)
Krig.find.gcvmin (info, lambda.grid, gcv, gcv.fun, tol, verbose =FALSE,
give.warnings = TRUE)
Krig.find.REML (info, lambda.grid, llike, llike.fun, tol, verbose = TRUE,
give.warnings = FALSE)
Krig.flplike (lam, obj)
Krig.fs2hat (lam, obj)
Krig.ftrace (lam, D)
Krig.parameters (obj, mle.calc=TRUE)
Krig.replicates (out, verbose = FALSE)
Krig.updateY (out, Y, verbose = FALSE)
Krig.ynew (out, ynew, verbose = FALSE)
WD4 (x)
WD42d (x)
WD42di (x)
WD4i (x)
WQS (x)
WQS.T (x)
WQS.basis (N, cut.n = 8)
WQS2d (x, transpose = FALSE)
WQS2di (x, transpose = FALSE)
WQSdi (x, transpose = FALSE)
WQSi (x)
WQSi.T (x)
WQS.periodic(x)
WQS.periodic.T(x)
WQS.periodic.basis(N, cut.n = 8)
WQS.periodic.T(x)
WQS2d.cylinder(x, transpose = FALSE, byX=T)
WQS2di.cylinder(x, transpose = FALSE, byX=T)
WQSi.periodic(x)
WQSi.periodic.T(x)
bisection.search (x1, x2, f, tol = 1e-07, niter = 25, f.extra =
NA, upcross.level = 0)
bplot.obj (data, pos = NA, width = NULL, labels = NULL, las=NULL
,add = FALSE, space = 0.25, sort.names = FALSE, xlab = "", ylab = "",
label.cex = 1, xaxt = "n", outlier = TRUE, horizontal = FALSE,
lwd=NA,col=NA,...)
cat.matrix (mat, digits = 8)
cat.to.list (x, a)
ceiling2 (m)
conjugate.gradient (b, multAx, start = NULL, tol = 1e-05, kmax =
25, verbose = TRUE, ...)
describe (x)
describe.bplot (temp, style = "tukey", outlier = TRUE)
double.exp(x)
dyadic.2check( m,n,cut.p=2)
dyadic.check( n,cut.p=2)
draw.bplot (temp, width, xpos, outlier = TRUE, style = "tukey")
draw.bplot.obj (obj, width, xpos, outlier = TRUE,
horizontal = FALSE,lwd=NA,col=NA)
exp.earth.cov (x1, x2, theta = 1)
fast.1way (lev, y, w = rep(1, length(y)))
find.upcross (fun, fun.info, upcross.level = 0, guess = 1, tol =
1e-05)
gauss.cov (...)
gcv.sreg (out, lambda.grid = NA, cost = 1, nstep.cv = 20, rmse =
NA, offset = 0, trmin = NA, trmax = NA, verbose = TRUE, tol = 1e-05,
find.min = TRUE, method = "GCV")
golden.section.search (ax, bx, cx, f, niter = 25, f.extra = NA,
tol = 1e-05)
grey.level (n=256)
image.plot.info (...)
image.plot.plt(x, add=FALSE, legend.shrink = 0.9, legend.width = 1,
horizontal = FALSE, legend.mar=NULL, bigplot = NULL, smallplot = NULL,...)
image.smooth.setup (x,nrow = 64, ncol = 64, dx = 1, dy = 1,
kernel.function = double.exp,
theta = 1, Mwidth = nrow, Nwidth = ncol, ...)
in.poly (xd, xp, convex.hull = FALSE, inflation=1e-7)
krig.image.parameters (out)
lonlat2xy (lnlt, miles = FALSE)
make.surface.grid (grid.list, X, nx = 30, ny = 30,
info.list = FALSE, FUN = median)
make.tmatrix (x, m = 2)
make.tmatrix.F (x, m = 2)
make.tmatrix.S (x, m = 2)
matern (t , scale = 1, range = 1,alpha=1/range,
smoothness = 0.5, nu= smoothness, phi=scale)
minimax.crit (obj, des = TRUE, R)
periodic.cov.1d (x1, x2, a, b)
periodic.cov.cyl (x1, x2, a = 0, b = 365, theta = 1)
periodic.plane.3d (x1, x2, a = 0, b = 365, theta = 1)
plot.krig.image (x, main = NA, digits = 4, which = rep(TRUE, 4),
graphics.reset = TRUE, ...)
plot.qsreg (x, pch = "*", main = NA,...)
plot.sim.krig.image (x,...)
plot.spatial.design (x,...)
plot.vgram.matrix (x, ...)
predict.interp.surface (object, loc,...)
predict.krig.image (object, x, ...)
predict.qsreg (object, x, derivative = 0, model = object$ind.cv.ps,...)
predict.sreg (object, x, derivative = 0, model = 1,...)
print.krig.image(x,...)
print.qsreg (x, ...)
print.spatial.design (x,...)
print.sreg (x, ...)
print.summary.Krig (x, ...)
print.summary.krig.image (x, ...)
print.summary.spatial.design (x, digits = 4,...)
print.summary.sreg (x, ...)
qr.q2ty (qr, y)
qr.yq2 (qr, y)
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.rho ( 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)
rad.cov (x1, x2, p = 1, with.log = TRUE, with.constant = TRUE, C =NULL)
rad.cov.F (x1, x2, p = 1, with.log = TRUE, with.constant = TRUE, C = NULL)
rad.cov.S (x1, x2, p = 1, with.log = TRUE, with.constant = TRUE)
rad.covC (x1, x2, C, p = 1, with.log = TRUE, with.constant = TRUE)
rad.image.cov (ind1, ind2, Y, cov.obj = NULL, setup = FALSE, grid,...)
radbas.constant (m, d)
rdist.F (x1, x2)
rdist.S (x1, x2, lon.lat = FALSE)
replace.args.function (fun, ...)
sim.krig.image (out, nreps = 10)
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, info)
sreg.fs2hat (lam, obj)
sreg.trace (h, info)
stats.bplot (x, by, style = "tukey", outlier = TRUE)
stats.sim.krig.image (obj)
summary.gcv.Krig (object, lambda=NULL,df, cost = 1, verbose = FALSE,
offset =0, y = NULL,...)
summary.gcv.sreg (object, lambda, cost = 1, nstep.cv = 20,
offset = 0, verbose = TRUE,...)
summary.krig.image (object, digits = 4, ...)
summary.qsreg (object, ...)
summary.spatial.design (object, digits = 4, ...)
summary.sreg (object, digits = 4, ...)
surface(obj , ...)
surface.default (obj, ...)
surface.krig.image (obj, grid.list = NA, extrap = TRUE,
graphics.reset = FALSE, xlab = NULL, ylab = NULL, main = NULL,
zlab = NULL,zlim = NULL,levels = NULL, ptype = "I", ...)
surface.surface (obj, ...)
test.data
test.data2
unscale (x, x.center, x.scale)
variogram.matrix (dat, R = 5, dx)
world.dat