Package: moveMMPP 0.0.0.9033

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:Devin Johnson [aut, cre]

moveMMPP_0.0.0.9033.tar.gz
moveMMPP_0.0.0.9033.zip(r-4.7)moveMMPP_0.0.0.9033.zip(r-4.6)moveMMPP_0.0.0.9033.zip(r-4.5)
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moveMMPP_0.0.0.9033.tar.gz(r-4.7-arm64)moveMMPP_0.0.0.9033.tar.gz(r-4.7-x86_64)moveMMPP_0.0.0.9033.tar.gz(r-4.6-arm64)moveMMPP_0.0.0.9033.tar.gz(r-4.6-x86_64)
moveMMPP_0.0.0.9033.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
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

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

1.48 score 15 exports 52 dependencies

Last updated from:bf260538a6. Checks:8 NOTE, 2 OK, 3 WARNING. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE242
linux-devel-x86_64NOTE245
source / vignettesOK220
linux-release-arm64NOTE235
linux-release-x86_64NOTE257
macos-release-arm64NOTE177
macos-release-x86_64NOTE413
macos-oldrel-arm64NOTE159
macos-oldrel-x86_64NOTE301
windows-develWARNING289
windows-releaseWARNING228
windows-oldrelWARNING209
wasm-releaseOK153

Exports:dm_lambdadm_q_mdm_q_rfit_mmppget_betasget_lim_udget_Qmake_design_datamake_sim_dmmake_sim_parmmpp_controlmmpp_llmmpp_modelprocess_datasim_mmpp

Dependencies:BHbootclassclassIntclicpp11DBIdeldirdplyre1071expQ2genericsglueKernSmoothlatticelifecyclelubridatemagrittrMASSMatrixnloptrnumDerivoptimxpillarpkgconfigpracmaproxypurrrR6rARPACKRcppRcppArmadilloRcppEigenrlangRSpectras2sfspspDataspdepstringistringrterratibbletidyrtidyselecttimechangeunitsutf8vctrswithrwk