Package: palm 1.1.5
palm: Fitting Point Process Models via the Palm Likelihood
Functions to fit point process models using the Palm likelihood. First proposed by Tanaka, Ogata, and Stoyan (2008) <doi:10.1002/bimj.200610339>, maximisation of the Palm likelihood can provide computationally efficient parameter estimation for point process models in situations where the full likelihood is intractable. This package is chiefly focused on Neyman-Scott point processes, but can also fit the void processes proposed by Jones-Todd et al. (2019) <doi:10.1002/sim.8046>. The development of this package was motivated by the analysis of capture-recapture surveys on which individuals cannot be identified---the data from which can conceptually be seen as a clustered point process (Stevenson, Borchers, and Fewster, 2019 <doi:10.1111/biom.12983>). As such, some of the functions in this package are specifically for the estimation of cetacean density from two-camera aerial surveys.
Authors:
palm_1.1.5.tar.gz
palm_1.1.5.zip(r-4.5)palm_1.1.5.zip(r-4.4)palm_1.1.5.zip(r-4.3)
palm_1.1.5.tgz(r-4.4-x86_64)palm_1.1.5.tgz(r-4.4-arm64)palm_1.1.5.tgz(r-4.3-x86_64)palm_1.1.5.tgz(r-4.3-arm64)
palm_1.1.5.tar.gz(r-4.5-noble)palm_1.1.5.tar.gz(r-4.4-noble)
palm_1.1.5.tgz(r-4.4-emscripten)palm_1.1.5.tgz(r-4.3-emscripten)
palm.pdf |palm.html✨
palm/json (API)
NEWS
| # Install 'palm' in R: |
| install.packages('palm', repos = c('https://b-steve.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/b-steve/palm/issues
- example.1D - 1-dimensional example data
- example.2D - 2-dimensional example data
- example.twocamera - Two-camera example data.
- porpoise.data - Two-camera porpoise data.
Last updated 6 months agofrom:020a6726ad. Checks:OK: 7 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 25 2024 |
| R-4.5-win-x86_64 | NOTE | Oct 25 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 25 2024 |
| R-4.4-win-x86_64 | OK | Oct 25 2024 |
| R-4.4-mac-x86_64 | OK | Oct 25 2024 |
| R-4.4-mac-aarch64 | OK | Oct 25 2024 |
| R-4.3-win-x86_64 | OK | Oct 25 2024 |
| R-4.3-mac-x86_64 | OK | Oct 25 2024 |
| R-4.3-mac-aarch64 | OK | Oct 25 2024 |
Exports:boot.palmfit.nsfit.twocamerafit.voidsim.nssim.twocamerasim.void
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bootstrapping for fitted models | boot.palm |
| Extract parameter estimates. | coef.palm coef.palm_twocamerachild |
| Extracts Neyman-Scott point process parameter confidence intervals. | confint.palm |
| 1-dimensional example data | example.1D |
| 2-dimensional example data | example.2D |
| Two-camera example data. | example.twocamera |
| Fitting a Neyman-Scott point process model | fit.ns |
| Estimation of animal density from two-camera surveys. | fit.twocamera |
| Fitting a model to a void point process | fit.void |
| palm: A package to fit point process models via the Palm likelihood | palm-package palm |
| Plotting an estimated Palm intensity function. | plot.palm |
| Two-camera porpoise data. | porpoise.data |
| Simulating points from a Neyman-Scott point process | sim.ns |
| Simulating data from two-camera aerial surveys. | sim.twocamera |
| Simulating points from a void point process. | sim.void |
| Summarising palm model fits | summary.palm |
