spatstat.random-internal {spatstat.random} | R Documentation |
Internal spatstat.random functions
Description
Internal spatstat.random functions.
Usage
change.default.expand(x, newdefault)
datagen.runifpointOnLines(n, L)
datagen.runifpoisppOnLines(lambda, L)
datagen.rpoisppOnLines(lambda, L, lmax, ..., check)
default.clipwindow(object, epsilon)
expandwinPerfect(W, expand, amount)
detect.par.format(par, native, generic)
fakeNeyScot(Y, lambda, win, saveLambda, saveparents)
getRandomFieldsModelGen(model)
handle.rshift.args(W, ..., radius, width, height,
edge, clip, edgedefault)
HermiteCoefs(order)
is.cadlag(s)
is.expandable(x)
## S3 method for class 'rmhmodel'
is.expandable(x)
kraever(package, fatal)
kraeverRandomFields()
MultiPair.checkmatrix(mat, n, matname, naok, zerook, asymmok)
optimalinflation(clusters, mod, rD)
## S3 method for class 'rmhcontrol'
print(x, ...)
## S3 method for class 'rmhexpand'
print(x, ..., prefix=TRUE)
## S3 method for class 'rmhmodel'
print(x, ...)
## S3 method for class 'rmhstart'
print(x, ...)
## S3 method for class 'rmhInfoList'
print(x, ...)
## S3 method for class 'summary.rmhexpand'
print(x, ...)
RandomFieldsSafe()
reheat(model, invtemp)
resolve.vargamma.shape(..., nu.ker, nu.pcf, nu, allow.nu, allow.default)
retrieve.param(desired, aliases, ..., par)
rMaternInhibition(type, kappa, r, win, stationary, ..., nsim, drop)
rMatClustHom(kappa, mu, R, W, ..., nsim, drop, inflate, saveparents)
rThomasHom(kappa, mu, sigma, W, ...,
nsim, drop, inflate, saveparents, maxinflate)
rCauchyHom(kappa, mu, scale, W, ...,
nsim, drop, inflate, saveparents, maxinflate)
rGRFcircembed(W, mu, var, corrfun, ..., nsim, drop)
rGRFgauss(W, mu, var, scale, ..., nsim, drop)
rGRFexpo(W, mu, var, scale, ..., nsim, drop)
rGRFstable(W, mu, var, scale, alpha, ..., nsim, drop)
rGRFgencauchy(W, mu, var, scale, alpha, beta, ..., nsim, drop)
rGRFmatern(W, mu, var, scale, nu, ..., nsim, drop)
rPoissonClusterEngine(kappa, expand, rcluster, win, ...,
nsim, drop, saveparents, kappamax, lmax, rmax)
RmhExpandRule(nama)
## S3 method for class 'rmhcontrol'
rmhcontrol(...)
## S3 method for class 'list'
rmhcontrol(...)
rmhEngine(InfoList, ..., verbose, kitchensink, preponly, snoop,
overrideXstart, overrideclip)
rmhResolveControl(control, model)
rmhResolveExpansion(win, control, imagelist, itype)
rmhResolveTypes(model, start, control)
rmhsnoop(..., Wsim, Wclip, R, xcoords, ycoords, mlevels, mcodes, irep, itype,
proptype, proplocn, propmark, propindx, numerator, denominator,
panel.only)
rmhSnoopEnv(Xinit, Wclip, R)
## S3 method for class 'rmhmodel'
rmhmodel(model, ...)
## S3 method for class 'rmhstart'
rmhstart(start, ...)
## S3 method for class 'list'
rmhstart(start, ...)
rmpoint.I.allim(n, f, types, nsim)
rpoint.multi(n, f, fmax, marks, win, giveup, verbose, warn, nsim, drop)
rthinEngine(X, P, ..., nsim, drop, Pmax, na.zero, what, fatal, warn)
runifpoispp(lambda, win, ..., nsim, drop)
runifpoisppOnLines(lambda, L, nsim, drop)
spatstatClusterModelInfo(name, onlyPCP)
spatstatClusterSimInfo(name)
spatstatClusterSimModelMatch(name, verbose)
spatstatRmhInfo(cifname)
summarise.trend(trend, w, a)
## S3 method for class 'rmhexpand'
summary(object, ...)
thinjump(n, p)
thinParents(X, P, Pmax)
## S3 method for class 'rmhstart'
update(object, ...)
validate.kappa.mu(kappa, mu, kappamax, mumax,
win, expand, ..., context)
Details
These internal spatstat.random functions should not be called directly by the user. Their names and capabilities may change without warning from one version of spatstat.random to the next.
Value
The return values of these functions are not documented, and may change without warning.
[Package spatstat.random version 3.3-2 Index]