library(spatstat)
StraussHard(r=1,hc=0.02)
# prints a sensible description of itself
data(cells)
mpl(cells, ~1, StraussHard(r=0.1, hc=0.05), rbord=0.1)
# fit the stationary Strauss/hard core process to `cells'
mpl(cells, ~ polynom(x,y,3), StraussHard(r=0.1, hc=0.05), rbord=0.1)
# fit a nonstationary Strauss/hard core process
# with log-cubic polynomial trend
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