R: Fitting Point Process Models via the Palm Likelihood

# Fitting Point Process Models via the Palm Likelihood

## Documentation for package ‘palm’ version 1.1.6

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

boot.palm | Bootstrapping for fitted models
coef.palm | Extract parameter estimates.
coef.palm_twocamerachild | Extract parameter estimates.
confint.palm | Extracts Neyman-Scott point process parameter confidence intervals.
example.1D | 1-dimensional example data
example.2D | 2-dimensional example data
example.twocamera | Two-camera example data.
fit.ns | Fitting a Neyman-Scott point process model
fit.twocamera | Estimation of animal density from two-camera surveys.
fit.void | Fitting a model to a void point process
plot.palm | Plotting an estimated Palm intensity function.
porpoise.data | Two-camera porpoise data.
sim.ns | Simulating points from a Neyman-Scott point process
sim.twocamera | Simulating data from two-camera aerial surveys.
sim.void | Simulating points from a void point process.
summary.palm | Summarising palm model fits