spatstat.core-internal: Internal spatstat.core functions
In spatstat.core: Core Functionality of the 'spatstat' Family
spatstat.core-internal R Documentation
Internal spatstat.core functions
Description
Internal spatstat.core functions.
Usage
## S3 method for class 'localpcfmatrix'
x[i, ...]
## S3 method for class 'rat'
x[...]
accumulateStatus(x, stats)
active.interactions(object)
adaptcoef(new.coef, fitcoef, drop)
adjust.ratfv(f, columns, numfactor, denfactor)
## S3 method for class 'msr'
affine(X, mat, vec, ...)
ang2rad(ang, unit, start, clockwise)
areadelta2(X, r, ..., sparseOK)
assemble.plot.objects(xlim, ylim, ..., lines, polygon)
as.isf(object)
## S3 method for class 'rppm'
as.ppm(object)
## S3 method for class 'bw.optim'
as.data.frame(x, ...)
## S3 method for class 'fv'
as.data.frame(x, ...)
augment.msr(x, ..., sigma, recompute)
bandwidth.is.infinite(sigma)
BartCalc(fY, fK)
bermantestCalc(fram, which, alternative, ...)
bermantestEngine(model, covariate, which, alternative, ...,
modelname, covname, dataname)
bigvaluerule(objfun, objargs, startpar, ...)
bind.ratfv(x, numerator, denominator, labl, desc, preferred,
ratio, quotient)
blankcoefnames(x)
bt.frame(Q, trend, interaction, ..., covariates,
correction, rbord, use.gam, allcovar)
bw.optim(cv, h, iopt, ..., cvname, hname, criterion,
optimum, warnextreme, hargnames, unitname)
calc.DR(COV, z, Dim)
calc.NNIR(COV, z, pos, Dim)
calc.SAVE(COV, z, Dim)
calc.SIR(COV, z)
calc.TSE(COV, z, pos, Dim1, Dim2)
cannot.update(...)
censtimeCDFest(o, cc, d, breaks, ...,
KM, RS, HAN, RAW, han.denom, tt, pmax, fname, fexpr)
check.separable(dmat, covname, isconstant, fatal)
check.testfun(f, f1, X)
circticks(R, at, unit, start, clockwise, labels)
clarkevansCalc(X, correction, clipregion, working)
## S3 method for class 'summary.kppm'
coef(object, ...)
## S3 method for class 'summary.ppm'
coef(object, ...)
## S3 method for class 'summary.slrm'
coef(object, ...)
## S3 method for class 'vblogit'
coef(object, ...)
## S3 method for class 'rat'
compatible(A, B, ...)
compileCDF(D, B, r, ..., han.denom, check)
condSimCox(object, nsim, ..., window, n.cond, w.cond,
giveup, maxchunk, verbose, drop)
conform.ratfv(x)
CressieReadStatistic(OBS,EXP,lambda,normalise,named)
CressieReadSymbol(lambda)
CressieReadName(lambda)
cutoff2Dkernel(kernel, sigma, varcov, ..., scalekernel, cutoff, fatal)
CVforPCF(bw, stuff)
damaged.ppm(object)
data.mppm(x)
deltasuffstat(model, ...,
restrict, dataonly, sparseOK, quadsub,
force, warn.forced, verbose, use.special)
Deviation(x, ref, leaveout, n, xi)
## S3 method for class 'ppmInfluence'
dfbetas(model, ...)
densitycrossEngine(Xdata, Xquery, sigma, ...,
kernel, scalekernel,
weights, edge, varcov,
diggle, sorted, cutoff)
densitypointsEngine(x, sigma, ...,
kernel, scalekernel,
weights, edge, varcov,
leaveoneout, diggle, sorted, spill, cutoff,
debug)
diagnose.ppm.engine(object, ..., type, typename, opt,
sigma, rbord, compute.sd, compute.cts,
envelope, nsim, nrank,
rv, oldstyle, splineargs, verbose)
digestCovariates(..., W)
digital.volume(range, nval, vside)
## S3 method for class 'fasp'
dim(x)
## S3 method for class 'msr'
dim(x)
## S3 method for class 'fasp'
dimnames(x)
## S3 replacement method for class 'fasp'
dimnames(x) <- value
## S3 method for class 'msr'
dimnames(x)
distributecbind(x)
doMultiStraussHard(iradii, hradii, types)
dppDpcf(model, ...)
dppmFixIntensity(DPP, lambda, po)
dppmFixAlgorithm(algorithm, changealgorithm, clusters, startpar)
DPPSaddle(beta, fi)
DPPSaddlePairwise(beta, fi)
envelopeEngine(X, fun, simul,
nsim, nrank, ..., funargs, funYargs,
verbose, clipdata,
transform, global, ginterval, use.theory,
alternative, scale, clamp,
savefuns, savepatterns, saveresultof,
weights,
nsim2, VARIANCE, nSD,
Yname,
maxnerr, rejectNA, silent, maxerr.action,
internal, cl,
envir.user, expected.arg, do.pwrong,
foreignclass, collectrubbish)
envelopeProgressData(X, fun, ..., exponent,
alternative, leaveout, scale, clamp,
normalize, deflate, rmin,
save.envelope, savefuns, savepatterns)
envelopeTest(X, ..., exponent, alternative,
rinterval, leaveout, scale, clamp, tie.rule,
interpolate, save.interpolant,
save.envelope, savefuns, savepatterns,
Xname, badXfatal, verbose)
## S3 method for class 'hasenvelope'
envelope(Y, ..., Yname)
## S3 method for class 'matrix'
envelope(Y, ..., rvals, observed, theory, funX,
nsim, nsim2, jsim, jsim.mean,
type, alternative, scale, clamp, csr, use.theory, nrank, ginterval, nSD,
savefuns, check, Yname, do.pwrong, weights, precomputed, gaveup)
equalpairs(U, X, marked=FALSE)
evalCovar(model, covariate, ...)
## S3 method for class 'ppm'
evalCovar(model, covariate, ..., lambdatype,
dimyx, eps, interpolate, jitter, jitterfactor,
modelname, covname, dataname, subset, clip.predict)
## S3 method for class 'ppp'
evalCovar(model, covariate, ..., lambdatype,
dimyx, eps, interpolate, jitter, jitterfactor,
modelname, covname, dataname, subset, clip.predict)
## S3 method for class 'slrm'
evalCovar(model, covariate, ..., lambdatype,
jitter, jitterfactor,
modelname, covname, dataname, subset)
evalCovariate(covariate, locations)
evalInteraction(X,P,E,interaction,correction,splitInf,...,
precomputed,savecomputed)
evalInterEngine(X,P,E,interaction,correction,splitInf,...,
Reach,precomputed,savecomputed)
evalPairPotential(X,P,E,pairpot,potpars,R)
evalPairwiseTerm(fint, d)
evaluate2Dkernel(kernel, x, y, sigma, varcov, ..., scalekernel)
ExpSmoothLog(X, ..., at, weights)
expandDot(f, dotvars)
## S3 method for class 'slrm'
extractAIC(fit, scale = 0, k = 2, ...)
extractAtomicQtests(x)
fakefii(model)
## S3 method for class 'hackglmmPQL'
family(object, ...)
## S3 method for class 'vblogit'
family(object, ...)
fasp(fns, which, formulae, dataname, title, rowNames, colNames, checkfv)
f3engine(x, y, z, box, vside, range, nval, correction)
f3Cengine(x, y, z, box, vside, rmax, nrval)
fill.coefs(coefs, required)
findCovariate(covname, scope, scopename=NULL)
findbestlegendpos(...)
findcbind(root, depth, maxdepth)
fii(interaction, coefs, Vnames, IsOffset, vnameprefix)
flatfname(x)
## S3 method for class 'msr'
flipxy(X)
forbid.logi(object)
FormatFaspFormulae(f, argname)
## S3 method for class 'hackglmmPQL'
formula(x, ...)
fvexprmap(x)
fvlabels(x, expand=FALSE)
fvlabels(x) <- value
fvlabelmap(x, dot=TRUE)
fvlegend(object, elang)
g3engine(x, y, z, box, rmax, nrval, correction)
g3Cengine(x, y, z, box, rmax, nrval)
getdataname(defaultvalue, ..., dataname)
getglmdata(object, drop=FALSE)
getglmfit(object)
getglmsubset(object)
getppmdatasubset(object)
getppmOriginalCovariates(object)
getSumFun(abbreviation, classname, ismarked, fatal)
geyercounts(U,X,r,sat,Xcounts,EqualPairs)
geyerdelta2(X,r,sat,...,sparseOK, correction)
GLMpredict(fit, data, coefs, changecoef, type)
good.correction.K(X)
hackglmmPQL(fixed, random, family, data, correlation, weights,
control, niter, verbose, subset, ..., reltol)
hasenvelope(X, E)
hasglmfit(object)
hierarchicalordering(i, s)
hiermat(x, h)
ho.engine(model, ..., nsim, nrmh, start, control, verb)
illegal.iformula(ifmla, itags, dfvarnames)
implemented.for.K(correction, windowtype, explicit)
impliedpresence(tags, formula, df, extranames=character(0))
impliedcoefficients(object, tag, new.coef)
## S3 method for class 'ppmInfluence'
influence(model, ...)
instantiate.interact(x, par)
interactionfamilyname(object)
intermaker(f, blank)
is.atomicQtest(x)
## S3 method for class 'ppm'
is.expandable(x)
is.interact(x)
## S3 method for class 'mppm'
is.marked(X, ...)
## S3 method for class 'msr'
is.marked(X, ...)
## S3 method for class 'slrm'
is.marked(X, ...)
is.mppm(x)
## S3 method for class 'mppm'
is.multitype(X, ...)
## S3 method for class 'msr'
is.multitype(X, ...)
## S3 method for class 'slrm'
is.multitype(X, ...)
## S3 method for class 'mppm'
is.poisson(x)
is.scov(x)
k3engine(x, y, z, box, rmax, nrval, correction)
Kborder.engine(X, rmax, nr, correction, weights, ratio)
Knone.engine(X, rmax, nr, weights, ratio)
Krect.engine(X, rmax, nr, correction, weights,
ratio, fname, use.integers)
Kount(dIJ, bI, b, breaks)
Kwtsum(dIJ, bI, wIJ, b, w, breaks, fatal)
Kpcf.kppm(model, what)
## S3 method for class 'slrm'
Kmodel(model, ...)
killinteraction(model)
km.rs.opt(o, cc, d, breaks, KM, RS)
kppmComLik(X, Xname, po, clusters, control, stabilize, weightfun, rmax,
algorithm, DPP, ..., pspace)
kppmMinCon(X, Xname, po, clusters, control, stabilize, statistic, statargs,
algorithm, DPP, ..., pspace)
kppmPalmLik(X, Xname, po, clusters, control, stabilize, weightfun, rmax,
algorithm, DPP, ..., pspace)
kppmCLadap(X, Xname, po, clusters, control, weightfun,
rmax, epsilon, DPP, algorithm, ...,
startpar, globStrat)
## S3 method for class 'ppm'
labels(object, ...)
## S3 method for class 'ppmInfluence'
leverage(model, ...)
localKengine(X, ..., wantL, lambda, rmax, correction, verbose, rvalue)
localKmultiEngine(X, from, to,
lambdaFrom, lambdaTo, ..., rmax, wantL,
correction, verbose, rvalue, sigma, varcov,
lambdaX, update, leaveoneout,
Iexplain, Jexplain, Ikey, Jkey, miss.update, miss.leave)
localpcfengine(X, ..., delta, rmax, nr, stoyan, lambda, rvalue)
localpcfmatrix(X, i, ..., lambda, delta, rmax, nr, stoyan)
logi.engine(Q, trend, interaction, ...,
covariates, subsetexpr, clipwin,
correction, rbord, covfunargs, allcovar,
vnamebase, vnameprefix, justQ, savecomputed, precomputed,
VB)
## S3 method for class 'vblogit'
logLik(object, ...)
lookup2DkernelInfo(kernel)
LurkEngine(object, type, cumulative, plot.sd,
quadpoints, wts, Z, subQset,
covvalues, resvalues,
clip, clipwindow, cov.is.im, covrange,
typename, covname,
cl, clenv,
oldstyle, check,
verbose, nx, splineargs,
envelope, nsim, nrank, Xsim,
internal, checklength)
makefvlabel(op, accent, fname, sub, argname)
mapInterVars(object, subs, mom)
maskLaslett(X, ..., eps, dimyx, xy, oldX, verbose, plotit)
match.kernel(kernel)
match2DkernelName(kernel)
Mayer(fi, exponent)
mctestSigtraceEngine(R, devdata, devsim, ...,
interpolate, confint, alpha, exponent, unitname)
meanlistfv(z, ...)
model.se.image(fit, W, ..., what)
modelFrameGam(formula, ...)
mpl.engine(Q, trend, interaction, ...,
covariates, subsetexpr, clipwin, covfunargs, correction,
rbord, use.gam, gcontrol,
GLM, GLMfamily, GLMcontrol, famille,
forcefit, nd, eps, allcovar, callstring,
precomputed, savecomputed, preponly,
rename.intercept, justQ, weightfactor)
mpl.get.covariates(covariates, locations, type, covfunargs, need.deriv)
mpl.prepare(Q, X, P, trend, interaction, covariates,
want.trend, want.inter, correction, rbord, Pname,
callstring, ...,
subsetexpr,
covfunargs, allcovar, precomputed, savecomputed,
vnamebase, vnameprefix, warn.illegal, warn.unidentifiable,
weightfactor, skip.border, clip.interaction, splitInf)
mpl.usable(x)
## S3 replacement method for class 'fv'
names(x) <- value
newformula(old, change, eold, enew, expandpoly, dotvars)
newstyle.coeff.handling(object)
nncleanEngine(kthNND, k, d, ..., tol, maxit,
plothist, lineargs, verbose, Xname)
nndcumfun(X, ..., r)
no.trend.ppm(x)
objsurfEngine(objfun, optpar, objargs,
..., dotargs, objname,
ngrid, xlim, ylim, ratio, verbose)
optimConverged(x)
optimStatus(x, call)
optimNsteps(x)
outdated.interact(object)
oversize.quad(Q, ..., nU, nX, p)
PairPotentialType(pairpot)
## S3 method for class 'listof'
pairs(..., plot=TRUE)
## S3 method for class 'solist'
pairs(..., plot=TRUE)
## S3 method for class 'localpcfmatrix'
plot(x, ...)
PoisSaddle(beta, fi)
PoisSaddleArea(beta, fi)
PoisSaddleGeyer(beta, fi)
PoisSaddlePairwise(beta, fi)
polyLaslett(X, ..., oldX, verbose, plotit)
PPMmodelmatrix(object, data, ..., subset, Q, keepNA, irregular,
splitInf)
printStatus(x, errors.only)
printStatusList(stats)
partialModelMatrix(X,D,model,callstring,...)
pcf3engine(x, y, z, box, rmax, nrval, correction, delta)
pcfmulti.inhom(X, I, J, lambdaI = NULL, lambdaJ = NULL, ...,
r = NULL, breaks = NULL,
kernel = "epanechnikov", bw = NULL, stoyan = 0.15,
correction = c("translate", "Ripley"),
sigma = NULL, varcov = NULL,
Iname = "points satisfying condition I",
Jname = "points satisfying condition J")
## S3 method for class 'slrm'
pcfmodel(model, ...)
ploterodewin(W1, W2, col.edge, col.inside, do.plot, ...)
ploterodeimage(W, Z, ..., Wcol, rangeZ, colsZ, do.plot)
## S3 method for class 'addvar'
plot(x, ..., do.points=FALSE)
## S3 method for class 'bw.frac'
plot(x, ...)
## S3 method for class 'bw.optim'
plot(x, ..., showopt, optargs)
## S3 method for class 'lurk'
plot(x, ..., shade)
## S3 method for class 'minconfit'
plot(x, ...)
## S3 method for class 'parres'
plot(x, ...)
## S3 method for class 'plotpairsim'
plot(x, ...)
## S3 method for class 'qqppm'
plot(x, ..., limits=TRUE,
monochrome=spatstat.options('monochrome'),
limcol=if(monochrome) "black" else "red")
## S3 method for class 'spatialcdf'
plot(x, ..., xlab, ylab)
## Default S3 method:
ppm(Q, trend, interaction,
..., covariates, data, covfunargs, subset, clipwin,
correction, rbord, use.gam, method, forcefit, emend, project,
prior.mean, prior.var,
nd, eps, gcontrol, nsim, nrmh, start, control,
verb, callstring)
ppmCovariates(model)
ppmDerivatives(fit, what, Dcovfun, loc, covfunargs)
ppmInfluenceEngine(fit, what, ..., iScore, iHessian, iArgs,
drop, method, fine, precomputed, sparseOK,
fitname, multitypeOK, entrywise, matrix.action,
dimyx, eps,
geomsmooth)
## S3 method for class 'vblogit'
predict(object, newdata, type, se.fit, dispersion,
terms, na.action, ...)
## S3 method for class 'profilepl'
predict(object, ...)
prefixfv(x, tagprefix, descprefix, lablprefix, whichtags)
## S3 method for class 'addvar'
print(x, ...)
## S3 method for class 'bt.frame'
print(x, ...)
## S3 method for class 'bw.frac'
print(x, ...)
## S3 method for class 'bw.optim'
print(x, ...)
## S3 method for class 'densityfun'
print(x, ...)
## S3 method for class 'diagppm'
print(x, ...)
## S3 method for class 'detpointprocfamily'
print(x, ...)
## S3 method for class 'detpointprocfamilyfun'
print(x, ...)
## S3 method for class 'envelope'
print(x, ...)
## S3 method for class 'fasp'
print(x, ...)
## S3 method for class 'fv'
print(x, ..., tight)
## S3 method for class 'fvfun'
print(x, ...)
## S3 method for class 'hasenvelope'
print(x, ...)
## S3 method for class 'hierarchicalordering'
print(x, ...)
## S3 method for class 'influence.ppm'
print(x, ...)
## S3 method for class 'interact'
print(x, ..., family, brief, banner)
## S3 method for class 'intermaker'
print(x, ...)
## S3 method for class 'isf'
print(x, ...)
## S3 method for class 'laslett'
print(x, ...)
## S3 method for class 'leverage.ppm'
print(x, ...)
## S3 method for class 'localpcfmatrix'
print(x, ...)
## S3 method for class 'lurk'
print(x, ...)
## S3 method for class 'minconfit'
print(x, ...)
## S3 method for class 'mppm'
print(x, ...)
## S3 method for class 'msr'
print(x, ...)
## S3 method for class 'parres'
print(x, ...)
## S3 method for class 'plotppm'
print(x, ...)
## S3 method for class 'plotpairsim'
print(x, ...)
## S3 method for class 'profilepl'
print(x, ...)
## S3 method for class 'quadrattest'
print(x, ...)
## S3 method for class 'qqppm'
print(x, ...)
## S3 method for class 'rat'
print(x, ...)
## S3 method for class 'rppm'
print(x, ...)
## S3 method for class 'Smoothfun'
print(x, ...)
## S3 method for class 'summary.mppm'
print(x, ..., brief)
## S3 method for class 'summary.slrm'
print(x, ...)
## S3 method for class 'summary.ssf'
print(x, ...)
## S3 method for class 'vblogit'
print(x, ...)
quad.mppm(x)
quadBlockSizes(nX, nD, p, nMAX, announce)
ratfv(df, numer, denom, ..., ratio)
## S3 method for class 'slrm'
reach(x, ...)
rebadge.as.crossfun(x, main, sub, i, j)
rebadge.as.dotfun(x, main, sub, i)
rebadge.fv(x, new.ylab, new.fname, tags, new.desc, new.labl, new.yexp,
new.dotnames, new.preferred, new.formula, new.tags)
rebadgeLabels(x, new.fname)
reconcile.fv(...)
reduceformula(fmla, deletevar, verbose)
RelevantDeviation(x, alternative, clamp, scaling)
rename.fv(x, fname, ylab, yexp)
## S3 method for class 'msr'
rescale(X, s, unitname)
resolveEinfo(x, what, fallback, warn, atomic)
resolve.foxall.window(X, Y, W, warn.trim)
resolve.lambda(X, lambda, ..., sigma, varcov, leaveoneout, update)
resolve.lambda.cross(X, I, J, lambdaI, lambdaJ, ..., lambdaX,
sigma, varcov, leaveoneout, update, lambdaIJ,
Iexplain, Jexplain, miss.update, miss.leave,
caller)
roseContinuous(ang, rad, unit, ...,
start, clockwise, main, labels, at, do.plot)
## S3 method for class 'msr'
rotate(X, angle, ..., centre)
quadrat.testEngine(X, nx, ny, alternative, method, conditional, CR,
..., nsim, Xcount, xbreaks, ybreaks, tess, fit, df.est, Xname, fitname)
reincarnate.interact(object)
resid4plot(RES, plot.neg, plot.smooth,
spacing, outer, srange, monochrome, main,
xlab, ylab, rlab, col.neg, col.smooth, ...)
resid1plot(RES, opt, plot.neg, plot.smooth,
srange, monochrome, main,
add, show.all, do.plot, col.neg, col.smooth, ...)
resid1panel(observedX, observedV,
theoreticalX, theoreticalV, theoreticalSD,
xlab,ylab, ..., do.plot)
resolve.2D.kernel(...,
sigma, varcov, x, mindist, adjust, bwfun, allow.zero)
rhohatEngine(model, covariate, reference, volume, ...,
subset, weights, method, horvitz, smoother,
resolution, evalCovarArgs,
n, bw, adjust, from, to,
bwref, covname, covunits, confidence,
breaks,
modelcall, callstring)
rhohatCalc(ZX, Zvalues, lambda, denom, ...,
weights, lambdaX,
method, horvitz, smoother,
n, bw, adjust, from, to,
bwref, covname, confidence, breaks, positiveCI, markovCI,
covunits, modelcall, callstring, savestuff)
rmax.Rigid(X, g)
rmax.rule(fun, W, lambda)
rocData(covariate, nullmodel, ..., high)
rocModel(lambda, nullmodel, ..., high)
SaddleApprox(beta, fi, approx)
safeFiniteValue(x, default)
safePositiveValue(x, default)
## S3 method for class 'msr'
scalardilate(X, f, ...)
scanmeasure(X, ...)
## S3 method for class 'ppp'
scanmeasure(X, r, ..., method)
## S3 method for class 'im'
scanmeasure(X, r, ...)
scanPoisLRTS(nZ, nG, muZ, muG, alternative)
scanBinomLRTS(nZ, nG, muZ, muG, alternative)
second.moment.calc(x, sigma, edge, what, ...,
varcov, expand, obswin, npts, debug)
second.moment.engine(x, sigma, edge, what, ...,
kernel, scalekernel, obswin, varcov, npts, debug, fastgauss)
sewpcf(d, w, denargs, lambda2area, divisor)
sewsmod(d, ff, wt, Ef, rvals, method="smrep", ..., nwtsteps=500)
## S3 method for class 'influence.ppm'
shift(X, ...)
## S3 method for class 'leverage.ppm'
shift(X, ...)
## S3 method for class 'msr'
shift(X, ...)
## S3 method for class 'quadrattest'
shift(X, ...)
signalStatus(x, errors.only)
## S3 method for class 'profilepl'
simulate(object, ...)
simulrecipe(type, expr, envir, csr, pois, constraints)
slr.prepare(CallInfo, envir, data, dataAtPoints, splitby, clip)
slrAssemblePixelData(Y, Yname, W, covimages, dataAtPoints, pixelarea)
slrmInfluence(model, what, ...)
## S3 method for class 'solist'
Smooth(X, ...)
smoothcrossEngine(Xdata, Xquery, values, sigma, ...,
weights, varcov,
kernel, scalekernel, sorted, cutoff)
smoothpointsEngine(x, values, sigma, ...,
kernel, scalekernel,
weights, varcov, leaveoneout, sorted, cutoff, debug)
spatstatDPPModelInfo(model)
spatialCDFframe(model, covariate, ..., jitter)
spatialCDFtest(model, covariate, test, ...,
dimyx, eps, interpolate, jitter,
nsim, verbose, modelname, covname, dataname)
spatialCDFtestCalc(fra, test, ..., details)
sphere.volume(range, nval = 10)
splitHybridInteraction(coeffs, inte)
sp.foundclass(cname, inlist, formalname, argsgiven)
sp.foundclasses(cnames, inlist, formalname, argsgiven)
strausscounts(U,X,r,EqualPairs)
stripGLMM(object)
suffloc(object)
suffstat.generic(model, X, callstring)
suffstat.poisson(model, X, callstring)
## S3 method for class 'envelope'
summary(object,...)
## S3 method for class 'mppm'
summary(object, ..., brief=FALSE)
## S3 method for class 'msr'
summary(object, ...)
## S3 method for class 'profilepl'
summary(object, ...)
## S3 method for class 'vblogit'
summary(object, ...)
tweak.coefs(model, new.coef)
tweak.fv.entry(x, current.tag, new.labl, new.desc, new.tag)
tweak.ratfv.entry(x, ...)
twostage.test(X, ..., exponent, nsim, nsimsub,
alternative, reuse, leaveout, interpolate,
savefuns, savepatterns, verbose, badXfatal, testblurb)
twostage.envelope(X, ..., nsim, nsimsub, nrank,
alternative, reuse, leaveout, interpolate,
savefuns, savepatterns, verbose, badXfatal, testlabel)
## S3 method for class 'msr'
unitname(x)
## S3 replacement method for class 'msr'
unitname(x) <- value
## S3 method for class 'ippm'
update(object, ..., envir)
## S3 method for class 'msr'
update(object, ...)
validate2Dkernel(kernel, fatal)
validate.angles(angles, unit, guess)
validate.weights(x, recip, how, allowzero, allowinf)
vanilla.fv(x)
varcountEngine(g, B, lambdaB, f, R, what)
versionstring.interact(object)
versionstring.ppm(object)
weightedclosepairs(X, r, correction, what)
windows.mppm(x)
X2testEngine(OBS, EXP, ..., method, CR, df, nsim,
conditional, alternative, testname, dataname)
Details
These internal spatstat.core functions should not be called
directly by the user. Their names and capabilities may change
without warning from one version of spatstat.core to the next.
Value
The return values of these functions are not documented,
and may change without warning.
spatstat.core documentation built on May 18, 2022, 9:05 a.m.
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| spatstat.core-internal | R Documentation |
Internal spatstat.core functions
Description
Internal spatstat.core functions.
Usage
## S3 method for class 'localpcfmatrix'
x[i, ...]
## S3 method for class 'rat'
x[...]
accumulateStatus(x, stats)
active.interactions(object)
adaptcoef(new.coef, fitcoef, drop)
adjust.ratfv(f, columns, numfactor, denfactor)
## S3 method for class 'msr'
affine(X, mat, vec, ...)
ang2rad(ang, unit, start, clockwise)
areadelta2(X, r, ..., sparseOK)
assemble.plot.objects(xlim, ylim, ..., lines, polygon)
as.isf(object)
## S3 method for class 'rppm'
as.ppm(object)
## S3 method for class 'bw.optim'
as.data.frame(x, ...)
## S3 method for class 'fv'
as.data.frame(x, ...)
augment.msr(x, ..., sigma, recompute)
bandwidth.is.infinite(sigma)
BartCalc(fY, fK)
bermantestCalc(fram, which, alternative, ...)
bermantestEngine(model, covariate, which, alternative, ...,
modelname, covname, dataname)
bigvaluerule(objfun, objargs, startpar, ...)
bind.ratfv(x, numerator, denominator, labl, desc, preferred,
ratio, quotient)
blankcoefnames(x)
bt.frame(Q, trend, interaction, ..., covariates,
correction, rbord, use.gam, allcovar)
bw.optim(cv, h, iopt, ..., cvname, hname, criterion,
optimum, warnextreme, hargnames, unitname)
calc.DR(COV, z, Dim)
calc.NNIR(COV, z, pos, Dim)
calc.SAVE(COV, z, Dim)
calc.SIR(COV, z)
calc.TSE(COV, z, pos, Dim1, Dim2)
cannot.update(...)
censtimeCDFest(o, cc, d, breaks, ...,
KM, RS, HAN, RAW, han.denom, tt, pmax, fname, fexpr)
check.separable(dmat, covname, isconstant, fatal)
check.testfun(f, f1, X)
circticks(R, at, unit, start, clockwise, labels)
clarkevansCalc(X, correction, clipregion, working)
## S3 method for class 'summary.kppm'
coef(object, ...)
## S3 method for class 'summary.ppm'
coef(object, ...)
## S3 method for class 'summary.slrm'
coef(object, ...)
## S3 method for class 'vblogit'
coef(object, ...)
## S3 method for class 'rat'
compatible(A, B, ...)
compileCDF(D, B, r, ..., han.denom, check)
condSimCox(object, nsim, ..., window, n.cond, w.cond,
giveup, maxchunk, verbose, drop)
conform.ratfv(x)
CressieReadStatistic(OBS,EXP,lambda,normalise,named)
CressieReadSymbol(lambda)
CressieReadName(lambda)
cutoff2Dkernel(kernel, sigma, varcov, ..., scalekernel, cutoff, fatal)
CVforPCF(bw, stuff)
damaged.ppm(object)
data.mppm(x)
deltasuffstat(model, ...,
restrict, dataonly, sparseOK, quadsub,
force, warn.forced, verbose, use.special)
Deviation(x, ref, leaveout, n, xi)
## S3 method for class 'ppmInfluence'
dfbetas(model, ...)
densitycrossEngine(Xdata, Xquery, sigma, ...,
kernel, scalekernel,
weights, edge, varcov,
diggle, sorted, cutoff)
densitypointsEngine(x, sigma, ...,
kernel, scalekernel,
weights, edge, varcov,
leaveoneout, diggle, sorted, spill, cutoff,
debug)
diagnose.ppm.engine(object, ..., type, typename, opt,
sigma, rbord, compute.sd, compute.cts,
envelope, nsim, nrank,
rv, oldstyle, splineargs, verbose)
digestCovariates(..., W)
digital.volume(range, nval, vside)
## S3 method for class 'fasp'
dim(x)
## S3 method for class 'msr'
dim(x)
## S3 method for class 'fasp'
dimnames(x)
## S3 replacement method for class 'fasp'
dimnames(x) <- value
## S3 method for class 'msr'
dimnames(x)
distributecbind(x)
doMultiStraussHard(iradii, hradii, types)
dppDpcf(model, ...)
dppmFixIntensity(DPP, lambda, po)
dppmFixAlgorithm(algorithm, changealgorithm, clusters, startpar)
DPPSaddle(beta, fi)
DPPSaddlePairwise(beta, fi)
envelopeEngine(X, fun, simul,
nsim, nrank, ..., funargs, funYargs,
verbose, clipdata,
transform, global, ginterval, use.theory,
alternative, scale, clamp,
savefuns, savepatterns, saveresultof,
weights,
nsim2, VARIANCE, nSD,
Yname,
maxnerr, rejectNA, silent, maxerr.action,
internal, cl,
envir.user, expected.arg, do.pwrong,
foreignclass, collectrubbish)
envelopeProgressData(X, fun, ..., exponent,
alternative, leaveout, scale, clamp,
normalize, deflate, rmin,
save.envelope, savefuns, savepatterns)
envelopeTest(X, ..., exponent, alternative,
rinterval, leaveout, scale, clamp, tie.rule,
interpolate, save.interpolant,
save.envelope, savefuns, savepatterns,
Xname, badXfatal, verbose)
## S3 method for class 'hasenvelope'
envelope(Y, ..., Yname)
## S3 method for class 'matrix'
envelope(Y, ..., rvals, observed, theory, funX,
nsim, nsim2, jsim, jsim.mean,
type, alternative, scale, clamp, csr, use.theory, nrank, ginterval, nSD,
savefuns, check, Yname, do.pwrong, weights, precomputed, gaveup)
equalpairs(U, X, marked=FALSE)
evalCovar(model, covariate, ...)
## S3 method for class 'ppm'
evalCovar(model, covariate, ..., lambdatype,
dimyx, eps, interpolate, jitter, jitterfactor,
modelname, covname, dataname, subset, clip.predict)
## S3 method for class 'ppp'
evalCovar(model, covariate, ..., lambdatype,
dimyx, eps, interpolate, jitter, jitterfactor,
modelname, covname, dataname, subset, clip.predict)
## S3 method for class 'slrm'
evalCovar(model, covariate, ..., lambdatype,
jitter, jitterfactor,
modelname, covname, dataname, subset)
evalCovariate(covariate, locations)
evalInteraction(X,P,E,interaction,correction,splitInf,...,
precomputed,savecomputed)
evalInterEngine(X,P,E,interaction,correction,splitInf,...,
Reach,precomputed,savecomputed)
evalPairPotential(X,P,E,pairpot,potpars,R)
evalPairwiseTerm(fint, d)
evaluate2Dkernel(kernel, x, y, sigma, varcov, ..., scalekernel)
ExpSmoothLog(X, ..., at, weights)
expandDot(f, dotvars)
## S3 method for class 'slrm'
extractAIC(fit, scale = 0, k = 2, ...)
extractAtomicQtests(x)
fakefii(model)
## S3 method for class 'hackglmmPQL'
family(object, ...)
## S3 method for class 'vblogit'
family(object, ...)
fasp(fns, which, formulae, dataname, title, rowNames, colNames, checkfv)
f3engine(x, y, z, box, vside, range, nval, correction)
f3Cengine(x, y, z, box, vside, rmax, nrval)
fill.coefs(coefs, required)
findCovariate(covname, scope, scopename=NULL)
findbestlegendpos(...)
findcbind(root, depth, maxdepth)
fii(interaction, coefs, Vnames, IsOffset, vnameprefix)
flatfname(x)
## S3 method for class 'msr'
flipxy(X)
forbid.logi(object)
FormatFaspFormulae(f, argname)
## S3 method for class 'hackglmmPQL'
formula(x, ...)
fvexprmap(x)
fvlabels(x, expand=FALSE)
fvlabels(x) <- value
fvlabelmap(x, dot=TRUE)
fvlegend(object, elang)
g3engine(x, y, z, box, rmax, nrval, correction)
g3Cengine(x, y, z, box, rmax, nrval)
getdataname(defaultvalue, ..., dataname)
getglmdata(object, drop=FALSE)
getglmfit(object)
getglmsubset(object)
getppmdatasubset(object)
getppmOriginalCovariates(object)
getSumFun(abbreviation, classname, ismarked, fatal)
geyercounts(U,X,r,sat,Xcounts,EqualPairs)
geyerdelta2(X,r,sat,...,sparseOK, correction)
GLMpredict(fit, data, coefs, changecoef, type)
good.correction.K(X)
hackglmmPQL(fixed, random, family, data, correlation, weights,
control, niter, verbose, subset, ..., reltol)
hasenvelope(X, E)
hasglmfit(object)
hierarchicalordering(i, s)
hiermat(x, h)
ho.engine(model, ..., nsim, nrmh, start, control, verb)
illegal.iformula(ifmla, itags, dfvarnames)
implemented.for.K(correction, windowtype, explicit)
impliedpresence(tags, formula, df, extranames=character(0))
impliedcoefficients(object, tag, new.coef)
## S3 method for class 'ppmInfluence'
influence(model, ...)
instantiate.interact(x, par)
interactionfamilyname(object)
intermaker(f, blank)
is.atomicQtest(x)
## S3 method for class 'ppm'
is.expandable(x)
is.interact(x)
## S3 method for class 'mppm'
is.marked(X, ...)
## S3 method for class 'msr'
is.marked(X, ...)
## S3 method for class 'slrm'
is.marked(X, ...)
is.mppm(x)
## S3 method for class 'mppm'
is.multitype(X, ...)
## S3 method for class 'msr'
is.multitype(X, ...)
## S3 method for class 'slrm'
is.multitype(X, ...)
## S3 method for class 'mppm'
is.poisson(x)
is.scov(x)
k3engine(x, y, z, box, rmax, nrval, correction)
Kborder.engine(X, rmax, nr, correction, weights, ratio)
Knone.engine(X, rmax, nr, weights, ratio)
Krect.engine(X, rmax, nr, correction, weights,
ratio, fname, use.integers)
Kount(dIJ, bI, b, breaks)
Kwtsum(dIJ, bI, wIJ, b, w, breaks, fatal)
Kpcf.kppm(model, what)
## S3 method for class 'slrm'
Kmodel(model, ...)
killinteraction(model)
km.rs.opt(o, cc, d, breaks, KM, RS)
kppmComLik(X, Xname, po, clusters, control, stabilize, weightfun, rmax,
algorithm, DPP, ..., pspace)
kppmMinCon(X, Xname, po, clusters, control, stabilize, statistic, statargs,
algorithm, DPP, ..., pspace)
kppmPalmLik(X, Xname, po, clusters, control, stabilize, weightfun, rmax,
algorithm, DPP, ..., pspace)
kppmCLadap(X, Xname, po, clusters, control, weightfun,
rmax, epsilon, DPP, algorithm, ...,
startpar, globStrat)
## S3 method for class 'ppm'
labels(object, ...)
## S3 method for class 'ppmInfluence'
leverage(model, ...)
localKengine(X, ..., wantL, lambda, rmax, correction, verbose, rvalue)
localKmultiEngine(X, from, to,
lambdaFrom, lambdaTo, ..., rmax, wantL,
correction, verbose, rvalue, sigma, varcov,
lambdaX, update, leaveoneout,
Iexplain, Jexplain, Ikey, Jkey, miss.update, miss.leave)
localpcfengine(X, ..., delta, rmax, nr, stoyan, lambda, rvalue)
localpcfmatrix(X, i, ..., lambda, delta, rmax, nr, stoyan)
logi.engine(Q, trend, interaction, ...,
covariates, subsetexpr, clipwin,
correction, rbord, covfunargs, allcovar,
vnamebase, vnameprefix, justQ, savecomputed, precomputed,
VB)
## S3 method for class 'vblogit'
logLik(object, ...)
lookup2DkernelInfo(kernel)
LurkEngine(object, type, cumulative, plot.sd,
quadpoints, wts, Z, subQset,
covvalues, resvalues,
clip, clipwindow, cov.is.im, covrange,
typename, covname,
cl, clenv,
oldstyle, check,
verbose, nx, splineargs,
envelope, nsim, nrank, Xsim,
internal, checklength)
makefvlabel(op, accent, fname, sub, argname)
mapInterVars(object, subs, mom)
maskLaslett(X, ..., eps, dimyx, xy, oldX, verbose, plotit)
match.kernel(kernel)
match2DkernelName(kernel)
Mayer(fi, exponent)
mctestSigtraceEngine(R, devdata, devsim, ...,
interpolate, confint, alpha, exponent, unitname)
meanlistfv(z, ...)
model.se.image(fit, W, ..., what)
modelFrameGam(formula, ...)
mpl.engine(Q, trend, interaction, ...,
covariates, subsetexpr, clipwin, covfunargs, correction,
rbord, use.gam, gcontrol,
GLM, GLMfamily, GLMcontrol, famille,
forcefit, nd, eps, allcovar, callstring,
precomputed, savecomputed, preponly,
rename.intercept, justQ, weightfactor)
mpl.get.covariates(covariates, locations, type, covfunargs, need.deriv)
mpl.prepare(Q, X, P, trend, interaction, covariates,
want.trend, want.inter, correction, rbord, Pname,
callstring, ...,
subsetexpr,
covfunargs, allcovar, precomputed, savecomputed,
vnamebase, vnameprefix, warn.illegal, warn.unidentifiable,
weightfactor, skip.border, clip.interaction, splitInf)
mpl.usable(x)
## S3 replacement method for class 'fv'
names(x) <- value
newformula(old, change, eold, enew, expandpoly, dotvars)
newstyle.coeff.handling(object)
nncleanEngine(kthNND, k, d, ..., tol, maxit,
plothist, lineargs, verbose, Xname)
nndcumfun(X, ..., r)
no.trend.ppm(x)
objsurfEngine(objfun, optpar, objargs,
..., dotargs, objname,
ngrid, xlim, ylim, ratio, verbose)
optimConverged(x)
optimStatus(x, call)
optimNsteps(x)
outdated.interact(object)
oversize.quad(Q, ..., nU, nX, p)
PairPotentialType(pairpot)
## S3 method for class 'listof'
pairs(..., plot=TRUE)
## S3 method for class 'solist'
pairs(..., plot=TRUE)
## S3 method for class 'localpcfmatrix'
plot(x, ...)
PoisSaddle(beta, fi)
PoisSaddleArea(beta, fi)
PoisSaddleGeyer(beta, fi)
PoisSaddlePairwise(beta, fi)
polyLaslett(X, ..., oldX, verbose, plotit)
PPMmodelmatrix(object, data, ..., subset, Q, keepNA, irregular,
splitInf)
printStatus(x, errors.only)
printStatusList(stats)
partialModelMatrix(X,D,model,callstring,...)
pcf3engine(x, y, z, box, rmax, nrval, correction, delta)
pcfmulti.inhom(X, I, J, lambdaI = NULL, lambdaJ = NULL, ...,
r = NULL, breaks = NULL,
kernel = "epanechnikov", bw = NULL, stoyan = 0.15,
correction = c("translate", "Ripley"),
sigma = NULL, varcov = NULL,
Iname = "points satisfying condition I",
Jname = "points satisfying condition J")
## S3 method for class 'slrm'
pcfmodel(model, ...)
ploterodewin(W1, W2, col.edge, col.inside, do.plot, ...)
ploterodeimage(W, Z, ..., Wcol, rangeZ, colsZ, do.plot)
## S3 method for class 'addvar'
plot(x, ..., do.points=FALSE)
## S3 method for class 'bw.frac'
plot(x, ...)
## S3 method for class 'bw.optim'
plot(x, ..., showopt, optargs)
## S3 method for class 'lurk'
plot(x, ..., shade)
## S3 method for class 'minconfit'
plot(x, ...)
## S3 method for class 'parres'
plot(x, ...)
## S3 method for class 'plotpairsim'
plot(x, ...)
## S3 method for class 'qqppm'
plot(x, ..., limits=TRUE,
monochrome=spatstat.options('monochrome'),
limcol=if(monochrome) "black" else "red")
## S3 method for class 'spatialcdf'
plot(x, ..., xlab, ylab)
## Default S3 method:
ppm(Q, trend, interaction,
..., covariates, data, covfunargs, subset, clipwin,
correction, rbord, use.gam, method, forcefit, emend, project,
prior.mean, prior.var,
nd, eps, gcontrol, nsim, nrmh, start, control,
verb, callstring)
ppmCovariates(model)
ppmDerivatives(fit, what, Dcovfun, loc, covfunargs)
ppmInfluenceEngine(fit, what, ..., iScore, iHessian, iArgs,
drop, method, fine, precomputed, sparseOK,
fitname, multitypeOK, entrywise, matrix.action,
dimyx, eps,
geomsmooth)
## S3 method for class 'vblogit'
predict(object, newdata, type, se.fit, dispersion,
terms, na.action, ...)
## S3 method for class 'profilepl'
predict(object, ...)
prefixfv(x, tagprefix, descprefix, lablprefix, whichtags)
## S3 method for class 'addvar'
print(x, ...)
## S3 method for class 'bt.frame'
print(x, ...)
## S3 method for class 'bw.frac'
print(x, ...)
## S3 method for class 'bw.optim'
print(x, ...)
## S3 method for class 'densityfun'
print(x, ...)
## S3 method for class 'diagppm'
print(x, ...)
## S3 method for class 'detpointprocfamily'
print(x, ...)
## S3 method for class 'detpointprocfamilyfun'
print(x, ...)
## S3 method for class 'envelope'
print(x, ...)
## S3 method for class 'fasp'
print(x, ...)
## S3 method for class 'fv'
print(x, ..., tight)
## S3 method for class 'fvfun'
print(x, ...)
## S3 method for class 'hasenvelope'
print(x, ...)
## S3 method for class 'hierarchicalordering'
print(x, ...)
## S3 method for class 'influence.ppm'
print(x, ...)
## S3 method for class 'interact'
print(x, ..., family, brief, banner)
## S3 method for class 'intermaker'
print(x, ...)
## S3 method for class 'isf'
print(x, ...)
## S3 method for class 'laslett'
print(x, ...)
## S3 method for class 'leverage.ppm'
print(x, ...)
## S3 method for class 'localpcfmatrix'
print(x, ...)
## S3 method for class 'lurk'
print(x, ...)
## S3 method for class 'minconfit'
print(x, ...)
## S3 method for class 'mppm'
print(x, ...)
## S3 method for class 'msr'
print(x, ...)
## S3 method for class 'parres'
print(x, ...)
## S3 method for class 'plotppm'
print(x, ...)
## S3 method for class 'plotpairsim'
print(x, ...)
## S3 method for class 'profilepl'
print(x, ...)
## S3 method for class 'quadrattest'
print(x, ...)
## S3 method for class 'qqppm'
print(x, ...)
## S3 method for class 'rat'
print(x, ...)
## S3 method for class 'rppm'
print(x, ...)
## S3 method for class 'Smoothfun'
print(x, ...)
## S3 method for class 'summary.mppm'
print(x, ..., brief)
## S3 method for class 'summary.slrm'
print(x, ...)
## S3 method for class 'summary.ssf'
print(x, ...)
## S3 method for class 'vblogit'
print(x, ...)
quad.mppm(x)
quadBlockSizes(nX, nD, p, nMAX, announce)
ratfv(df, numer, denom, ..., ratio)
## S3 method for class 'slrm'
reach(x, ...)
rebadge.as.crossfun(x, main, sub, i, j)
rebadge.as.dotfun(x, main, sub, i)
rebadge.fv(x, new.ylab, new.fname, tags, new.desc, new.labl, new.yexp,
new.dotnames, new.preferred, new.formula, new.tags)
rebadgeLabels(x, new.fname)
reconcile.fv(...)
reduceformula(fmla, deletevar, verbose)
RelevantDeviation(x, alternative, clamp, scaling)
rename.fv(x, fname, ylab, yexp)
## S3 method for class 'msr'
rescale(X, s, unitname)
resolveEinfo(x, what, fallback, warn, atomic)
resolve.foxall.window(X, Y, W, warn.trim)
resolve.lambda(X, lambda, ..., sigma, varcov, leaveoneout, update)
resolve.lambda.cross(X, I, J, lambdaI, lambdaJ, ..., lambdaX,
sigma, varcov, leaveoneout, update, lambdaIJ,
Iexplain, Jexplain, miss.update, miss.leave,
caller)
roseContinuous(ang, rad, unit, ...,
start, clockwise, main, labels, at, do.plot)
## S3 method for class 'msr'
rotate(X, angle, ..., centre)
quadrat.testEngine(X, nx, ny, alternative, method, conditional, CR,
..., nsim, Xcount, xbreaks, ybreaks, tess, fit, df.est, Xname, fitname)
reincarnate.interact(object)
resid4plot(RES, plot.neg, plot.smooth,
spacing, outer, srange, monochrome, main,
xlab, ylab, rlab, col.neg, col.smooth, ...)
resid1plot(RES, opt, plot.neg, plot.smooth,
srange, monochrome, main,
add, show.all, do.plot, col.neg, col.smooth, ...)
resid1panel(observedX, observedV,
theoreticalX, theoreticalV, theoreticalSD,
xlab,ylab, ..., do.plot)
resolve.2D.kernel(...,
sigma, varcov, x, mindist, adjust, bwfun, allow.zero)
rhohatEngine(model, covariate, reference, volume, ...,
subset, weights, method, horvitz, smoother,
resolution, evalCovarArgs,
n, bw, adjust, from, to,
bwref, covname, covunits, confidence,
breaks,
modelcall, callstring)
rhohatCalc(ZX, Zvalues, lambda, denom, ...,
weights, lambdaX,
method, horvitz, smoother,
n, bw, adjust, from, to,
bwref, covname, confidence, breaks, positiveCI, markovCI,
covunits, modelcall, callstring, savestuff)
rmax.Rigid(X, g)
rmax.rule(fun, W, lambda)
rocData(covariate, nullmodel, ..., high)
rocModel(lambda, nullmodel, ..., high)
SaddleApprox(beta, fi, approx)
safeFiniteValue(x, default)
safePositiveValue(x, default)
## S3 method for class 'msr'
scalardilate(X, f, ...)
scanmeasure(X, ...)
## S3 method for class 'ppp'
scanmeasure(X, r, ..., method)
## S3 method for class 'im'
scanmeasure(X, r, ...)
scanPoisLRTS(nZ, nG, muZ, muG, alternative)
scanBinomLRTS(nZ, nG, muZ, muG, alternative)
second.moment.calc(x, sigma, edge, what, ...,
varcov, expand, obswin, npts, debug)
second.moment.engine(x, sigma, edge, what, ...,
kernel, scalekernel, obswin, varcov, npts, debug, fastgauss)
sewpcf(d, w, denargs, lambda2area, divisor)
sewsmod(d, ff, wt, Ef, rvals, method="smrep", ..., nwtsteps=500)
## S3 method for class 'influence.ppm'
shift(X, ...)
## S3 method for class 'leverage.ppm'
shift(X, ...)
## S3 method for class 'msr'
shift(X, ...)
## S3 method for class 'quadrattest'
shift(X, ...)
signalStatus(x, errors.only)
## S3 method for class 'profilepl'
simulate(object, ...)
simulrecipe(type, expr, envir, csr, pois, constraints)
slr.prepare(CallInfo, envir, data, dataAtPoints, splitby, clip)
slrAssemblePixelData(Y, Yname, W, covimages, dataAtPoints, pixelarea)
slrmInfluence(model, what, ...)
## S3 method for class 'solist'
Smooth(X, ...)
smoothcrossEngine(Xdata, Xquery, values, sigma, ...,
weights, varcov,
kernel, scalekernel, sorted, cutoff)
smoothpointsEngine(x, values, sigma, ...,
kernel, scalekernel,
weights, varcov, leaveoneout, sorted, cutoff, debug)
spatstatDPPModelInfo(model)
spatialCDFframe(model, covariate, ..., jitter)
spatialCDFtest(model, covariate, test, ...,
dimyx, eps, interpolate, jitter,
nsim, verbose, modelname, covname, dataname)
spatialCDFtestCalc(fra, test, ..., details)
sphere.volume(range, nval = 10)
splitHybridInteraction(coeffs, inte)
sp.foundclass(cname, inlist, formalname, argsgiven)
sp.foundclasses(cnames, inlist, formalname, argsgiven)
strausscounts(U,X,r,EqualPairs)
stripGLMM(object)
suffloc(object)
suffstat.generic(model, X, callstring)
suffstat.poisson(model, X, callstring)
## S3 method for class 'envelope'
summary(object,...)
## S3 method for class 'mppm'
summary(object, ..., brief=FALSE)
## S3 method for class 'msr'
summary(object, ...)
## S3 method for class 'profilepl'
summary(object, ...)
## S3 method for class 'vblogit'
summary(object, ...)
tweak.coefs(model, new.coef)
tweak.fv.entry(x, current.tag, new.labl, new.desc, new.tag)
tweak.ratfv.entry(x, ...)
twostage.test(X, ..., exponent, nsim, nsimsub,
alternative, reuse, leaveout, interpolate,
savefuns, savepatterns, verbose, badXfatal, testblurb)
twostage.envelope(X, ..., nsim, nsimsub, nrank,
alternative, reuse, leaveout, interpolate,
savefuns, savepatterns, verbose, badXfatal, testlabel)
## S3 method for class 'msr'
unitname(x)
## S3 replacement method for class 'msr'
unitname(x) <- value
## S3 method for class 'ippm'
update(object, ..., envir)
## S3 method for class 'msr'
update(object, ...)
validate2Dkernel(kernel, fatal)
validate.angles(angles, unit, guess)
validate.weights(x, recip, how, allowzero, allowinf)
vanilla.fv(x)
varcountEngine(g, B, lambdaB, f, R, what)
versionstring.interact(object)
versionstring.ppm(object)
weightedclosepairs(X, r, correction, what)
windows.mppm(x)
X2testEngine(OBS, EXP, ..., method, CR, df, nsim,
conditional, alternative, testname, dataname)
Details
These internal spatstat.core functions should not be called directly by the user. Their names and capabilities may change without warning from one version of spatstat.core to the next.
Value
The return values of these functions are not documented, and may change without warning.
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