Package: moveMMPP 0.0.0.9022
moveMMPP: Fit Continuous-Time Markov Modulated Poisson Process Movement Models to Animal Resight Data
Using animal resight data, the package functions allow the user to estimate movement rates and resource selection using a continuous-time Markov chain movement model.
Authors:
moveMMPP_0.0.0.9022.tar.gz
moveMMPP_0.0.0.9022.zip(r-4.5)moveMMPP_0.0.0.9022.zip(r-4.4)moveMMPP_0.0.0.9022.zip(r-4.3)
moveMMPP_0.0.0.9022.tgz(r-4.4-x86_64)moveMMPP_0.0.0.9022.tgz(r-4.4-arm64)moveMMPP_0.0.0.9022.tgz(r-4.3-x86_64)moveMMPP_0.0.0.9022.tgz(r-4.3-arm64)
moveMMPP_0.0.0.9022.tar.gz(r-4.5-noble)moveMMPP_0.0.0.9022.tar.gz(r-4.4-noble)
moveMMPP_0.0.0.9022.tgz(r-4.4-emscripten)moveMMPP_0.0.0.9022.tgz(r-4.3-emscripten)
moveMMPP.pdf |moveMMPP.html✨
moveMMPP/json (API)
| # Install 'moveMMPP' in R: |
| install.packages('moveMMPP', repos = c('https://dsjohnson.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dsjohnson/movemmpp/issues
Last updated 7 months agofrom:50e71282da. Checks:OK: 3 NOTE: 3 WARNING: 3. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 05 2024 |
| R-4.5-win-x86_64 | WARNING | Nov 05 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 05 2024 |
| R-4.4-win-x86_64 | WARNING | Nov 05 2024 |
| R-4.4-mac-x86_64 | NOTE | Nov 05 2024 |
| R-4.4-mac-aarch64 | NOTE | Nov 05 2024 |
| R-4.3-win-x86_64 | WARNING | Nov 05 2024 |
| R-4.3-mac-x86_64 | OK | Nov 05 2024 |
| R-4.3-mac-aarch64 | OK | Nov 05 2024 |
Exports:dm_lambdadm_q_mdm_q_rfit_mmppget_betasget_lim_udget_Qmake_design_datamake_sim_dmmake_sim_parmmpp_controlmmpp_llmmpp_modelprocess_datasim_mmpp
Dependencies:BHbootclassclassIntclicpp11DBIdeldirdplyre1071expQ2fansigenericsglueKernSmoothlatticelifecyclelubridatemagrittrMASSMatrixnloptrnumDerivoptimxpillarpkgconfigpracmaproxypurrrR6rARPACKRcppRcppArmadilloRcppEigenrlangRSpectras2sfspspDataspdepstringistringrterratibbletidyrtidyselecttimechangeunitsutf8vctrswithrwk
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Define specifics for model structure and fitting control | arg_funs mmpp_control mmpp_model |
| Create sparse representations of design matrices for movement and resight models | dm_lambda dm_matrix dm_q_m dm_q_r |
| Fit MMPP movement model to resight data | fit_mmpp |
| Summarize beta parameter values | get_betas |
| Get the limiting utilization distribution of the CTMC movement process | get_lim_ud |
| Get movement transition matrix from fitted moveMMP object | get_Q |
| Produce design data for use in fitting MMPP movement models | make_design_data |
| Create model data necessary for MMPP simulation | make_sim_dm |
| Create Q and L matrices for MMPP simulation | make_sim_par |
| Evaluate movement MMPP log-likelihood | mmpp_ll |
| Process MMPP movement detection data for model fitting | process_data |
| Simulate a Markov Modulated Poisson Process | sim_mmpp |
