Package: crawl 2.3.1
crawl: Fit Continuous-Time Correlated Random Walk Models to Animal Movement Data
Fit continuous-time correlated random walk models with time indexed covariates to animal telemetry data. The model is fit using the Kalman-filter on a state space version of the continuous-time stochastic movement process.
Authors:
crawl_2.3.1.tar.gz
crawl_2.3.1.zip(r-4.5)crawl_2.3.1.zip(r-4.4)crawl_2.3.1.zip(r-4.3)
crawl_2.3.1.tgz(r-4.4-x86_64)crawl_2.3.1.tgz(r-4.4-arm64)crawl_2.3.1.tgz(r-4.3-x86_64)crawl_2.3.1.tgz(r-4.3-arm64)
crawl_2.3.1.tar.gz(r-4.5-noble)crawl_2.3.1.tar.gz(r-4.4-noble)
crawl_2.3.1.tgz(r-4.4-emscripten)crawl_2.3.1.tgz(r-4.3-emscripten)
crawl.pdf |crawl.html✨
crawl/json (API)
# Install 'crawl' in R: |
install.packages('crawl', repos = c('https://dsjohnson.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nmml/crawl/issues
- beardedSeals - Bearded Seal Location Data
- harborSeal - Harbor seal location data set used in Johnson et al.
- harborSeal_sf - Harbor seal location data updated since Johnson et al.
- northernFurSeal - Northern fur seal pup relocation data set used in Johnson et al.
Last updated 1 months agofrom:89ad099738. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 02 2024 |
R-4.5-win-x86_64 | OK | Nov 02 2024 |
R-4.5-linux-x86_64 | OK | Nov 02 2024 |
R-4.4-win-x86_64 | OK | Nov 02 2024 |
R-4.4-mac-x86_64 | OK | Nov 02 2024 |
R-4.4-mac-aarch64 | OK | Nov 02 2024 |
R-4.3-win-x86_64 | OK | Nov 02 2024 |
R-4.3-mac-x86_64 | OK | Nov 02 2024 |
R-4.3-mac-aarch64 | OK | Nov 02 2024 |
Exports:%>%aic.crwargosDiag2Covas.flatcrw_as_sfcrw_as_tibblecrwMLEcrwN2llcrwPostIScrwPredictcrwPredictPlotcrwSampleParcrwSimulatordetect_timescaledisplayParexpandPredfillColsfix_pathflattenintToPOSIXmergeTrackStoptidy_crwFit
Dependencies:classclassIntclicpp11DBIdplyre1071fansigenericsglueKernSmoothlatticelifecyclelubridatemagrittrMASSmvtnormpillarpkgconfigproxypurrrR6RcppRcppArmadillorlangs2sfsptibbletidyselecttimechangeunitsutf8vctrswithrwk