Internal spatstat.random functions.
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 rmhmodel
is.expandable(x)
kraever(package, fatal)
kraeverRandomFields()
MultiPair.checkmatrix(mat, n, matname, naok, zerook, asymmok)
optimalinflation(clusters, mod, rD)
# S3 method for rmhcontrol
print(x, ...)
# S3 method for rmhexpand
print(x, ..., prefix=TRUE)
# S3 method for rmhmodel
print(x, ...)
# S3 method for rmhstart
print(x, ...)
# S3 method for rmhInfoList
print(x, ...)
# S3 method for 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 rmhcontrol
rmhcontrol(...)
# S3 method for 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 rmhmodel
rmhmodel(model, ...)
# S3 method for rmhstart
rmhstart(start, ...)
# S3 method for 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 rmhexpand
summary(object, ...)
thinjump(n, p)
thinParents(X, P, Pmax)
# S3 method for rmhstart
update(object, ...)
validate.kappa.mu(kappa, mu, kappamax, mumax,
win, expand, ..., context)The return values of these functions are not documented, and may change without warning.
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.