Analyse species-habitat associations in R. Therefore, information about the
location of the species is needed and about the environmental conditions. To test
for significance habitat associations, one of the two components is randomized.
Methods are mainly based on Plotkin et al. (2000)

- Improvements
- Better structure of vignettes
- Adding CONTRIBUTING.md
- Trying to fix some failing tests for older R versions

- Improvements
`plot_randomized_pattern()`

now uses envelopes to plot randomized summary functions`plot_randomized_pattern()`

includes a quantum bar`plot_randomized_pattern()`

now can return plots after each other (Press )`calculate_engery()`

can also calculate the energy for marked reconstructions- Improved warning messages

- Bugfixes
- Explicitly C++11 compiler

- New functionality
`plot_randomized_pattern()`

to plot randomized rasters

- Improvements
- minor speed improvment for
`reconstruct_pattern()`

,`reconstruct_marks()`

and`calculate_energy()`

- The starting pattern is now identical for all n_random and only the relocation process differs between randomizations
- All summary functions are only calculated for 250 steps from 0 to rmax

- minor speed improvment for
- Bugfixes
- New functionality
`rcpp_sample()`

as a faster Rcpp implementation of`sample()`

- Improvements
- Replaced
`cat()`

with`message()`

for all printing to console - All defaults set to
`n_random = 1`

`comp_fast`

argument equals TRUE if number of points exceed threshold`reconstruct_pattern()`

stops if energy did not decrease for n iterations`reconstruct_marks()`

stops if energy did not decrease for n iterations`plot_randomized_pattern()`

can also plot point patterns

- Replaced
- Bugfixes
- Bug in
`fit_point_process()`

that more points as present could be removed from simulated pattern - Bug in
`reconstruct_pattern()`

that more points as present could be removed from simulated pattern

- Bug in

- First submission to CRAN