ApplyConnected(X, Engine, r, ..., rule, auxdata)
DoCountEnds(X, D, toler)
DoCountCrossEnds(X, I, J, DIJ, toler)
FDMKERNEL(lppobj, dtt, dtx, M, nsave, weights,
          stepnames, setuponly, verbose)
## S3 method for class 'linfun'
as.linfun(X, ...)
## S3 method for class 'lintess'
as.owin(W, ...)
default.linnet.tolerance(L)
makeLinnetTolerance(toler)
## S3 method for class 'lintess'
print(x, ...)
## S3 method for class 'summary.linim'
print(x, ...)
## S3 method for class 'summary.linnet'
print(x, ...)
## S3 method for class 'summary.lintess'
print(x, ...)
## S3 method for class 'lintess'
summary(object, ...)
## S3 method for class 'lintess'
nobjects(x)
## S3 method for class 'lintess'
Window(X, ...)
## S3 replacement method for class 'linnet'
Window(X, ..., check=TRUE) <- value
## S3 replacement method for class 'lpp'
Window(X, ..., check=TRUE) <- value
densitypointsLPP(x, sigma, ...,
                 weights, nsigma, leaveoneout, fast,
                 fastmethod, floored,
                 dx, dt, iterMax, verbose, debug)
## S3 method for class 'lppm'
evalCovar(model, covariate, ..., lambdatype, 
          eps, nd, interpolate, jitter, modelname, covname, dataname,
          subset)
flatdensityfunlpp(X, ..., disconnect, weights, what)
flatdensityatpointslpp(X, ..., leaveoneout, disconnect, weights, what)
getlambda.lpp(lambda, X, subset, ...,
              update, leaveoneout, loo.given, lambdaname)
local2lpp(L, seg, tp, X, df.only)
looHeatLPP(U0, Amatrix, npts, niter, nsave,
           lixelweight, lixelmap, verbose) 
looVoronoiLPP(X)
validate.lpp.coords(X, fatal, context)
## S3 method for class 'lppm'
as.ppm(object)
pointsAlongNetwork(L, delta)
linearKengine(X, ..., r, reweight, denom, correction,
              ratio, showworking)
linearKmulti(X, I, J, r, ..., correction)
linearKmulti.inhom(X, I, J, lambdaI, lambdaJ, r, ..., correction,
             normalise)
linearpcfengine(X, ..., r, reweight, denom, correction, ratio)
linearpcfmulti(X, I, J, r, ..., correction)
linearpcfmulti.inhom(X, I, J, lambdaI, lambdaJ, r, ...,
                     correction, normalise)
linearKmultiEngine(X, I, J, ...,
                   r, reweight, denom, correction, showworking)
linearPCFmultiEngine(X, I, J, ...,
                   r, reweight, denom, correction, showworking)
resampleNetworkDataFrame(df, template)
sortalongsegment(df)
vnnFind(seg, tp, ns, nv, from, to, seglen, huge, tol, kmax)
ldtEngine(nv, ns, from, to, seglen, huge,
          coUXord, vnndist, vnnwhich, vnnlab)
resolve.heat.steps(sigma, ..., dx, dt,
                   niter, iterMax, nsave,
                   seglengths, maxdegree, AMbound, L,
                   finespacing, fineNsplit, fineNlixels,
                   W, eps, dimyx, xy, 
                   allow.adjust, warn.adjust,
                   verbose, stepnames)
qkdeEngine(X, sigma, ..., at, what,
           leaveoneout, diggle, raw, edge2D, edge,
           weights, varcov, positive, shortcut,
           precomputed, savecomputed)
Math(x, ...)
Ops(e1, e2)
Complex(z)
Summary(..., na.rm = FALSE)




LinimOp(e1, e2, op)
LinimListOp(e1, e2, op)