Package: palm 1.1.7
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_1.1.7.tar.gz
palm_1.1.7.zip(r-4.7-x86_64)palm_1.1.7.zip(r-4.7-arm64)palm_1.1.7.zip(r-4.6-x86_64)palm_1.1.7.zip(r-4.6-arm64)palm_1.1.7.zip(r-4.5-x86_64)
palm_1.1.7.tgz(r-4.6-x86_64)palm_1.1.7.tgz(r-4.6-arm64)palm_1.1.7.tgz(r-4.5-x86_64)palm_1.1.7.tgz(r-4.5-arm64)
palm_1.1.7.tar.gz(r-4.7-arm64)palm_1.1.7.tar.gz(r-4.7-x86_64)palm_1.1.7.tar.gz(r-4.6-arm64)palm_1.1.7.tar.gz(r-4.6-x86_64)
palm_1.1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
palm/json (API)
| # 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 from:08b824ffdb. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 145 | ||
| linux-devel-x86_64 | OK | 149 | ||
| source / vignettes | OK | 175 | ||
| linux-release-arm64 | OK | 138 | ||
| linux-release-x86_64 | OK | 146 | ||
| macos-release-arm64 | OK | 105 | ||
| macos-release-x86_64 | OK | 326 | ||
| macos-oldrel-arm64 | OK | 93 | ||
| macos-oldrel-x86_64 | OK | 414 | ||
| windows-devel-arm64 | OK | 360 | ||
| windows-devel-x86_64 | OK | 166 | ||
| windows-release-arm64 | OK | 352 | ||
| windows-release-x86_64 | OK | 102 | ||
| windows-oldrel-x86_64 | OK | 109 | ||
| wasm-release | OK | 111 |
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 |
| 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 |