| 00ecespa | Functions for spatial point pattern analysis in ecology |
| dixon2002 | Dixon (2002) Nearest-neighbor contingency table analysis |
| fig1 | Artificial point data. |
| getis | Neighbourhood density function |
| gypsophylous | Spatial point pattern of a plant community |
| haz.ppp | Easily convert xy data to ppp format |
| Helianthemum | Spatial point pattern of Helianthemum squamatum adult plants... |
| internal | Internal ecespa functions. |
| ipc.estK | Fit the (In)homogeneous Poisson Cluster Point Process by... |
| K012 | Tests against 'independent labelling' |
| K1K2 | Differences between univariate and bivariate K-functions |
| Kci | Test against non-Poisson (in-)homogeneous models |
| Kinhom.log | Simulation envelopes from the fitted values of a logistic... |
| Kmm | Mark-weighted K-function |
| Kmulti.ls | Lotwick's and Silverman's combined estimator of the marked... |
| LF.gof | Loosmore and Ford Goodness of Fit Test |
| marksum | Mark-sum measure |
| p2colasr | P-value for a discrete distribution on small sample data |
| pc.estK | Fit the Poisson Cluster Point Process by Minimum Contrast |
| quercusvm | Alive and dead oak trees |
| rIPCP | Simulate Inhomogeneous Poisson Cluster Process |
| seedlings | Cohorts of Helianthemum squamatum seedlings |
| sim.poissonc | Simulate Poisson Cluster Process |
| swamp | Tree Species in a Swamp Forest |
| syrjala | Syrjala's test for the difference between the spatial... |
| syrjala.data | Syrjala test data |
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