Package: tidysdm 0.9.5
tidysdm: Species Distribution Models with Tidymodels
Fit species distribution models (SDMs) using the 'tidymodels' framework, which provides a standardised interface to define models and process their outputs. 'tidysdm' expands 'tidymodels' by providing methods for spatial objects, models and metrics specific to SDMs, as well as a number of specialised functions to process occurrences for contemporary and palaeo datasets. The full functionalities of the package are described in Leonardi et al. (2023) <doi:10.1101/2023.07.24.550358>.
Authors:
tidysdm_0.9.5.tar.gz
tidysdm_0.9.5.tar.gz(r-4.5-noble)tidysdm_0.9.5.tar.gz(r-4.4-noble)
tidysdm_0.9.5.tgz(r-4.4-emscripten)tidysdm_0.9.5.tgz(r-4.3-emscripten)
tidysdm.pdf |tidysdm.html✨
tidysdm/json (API)
NEWS
# Install 'tidysdm' in R: |
install.packages('tidysdm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/evolecolgroup/tidysdm/issues
- horses - Coordinates of radiocarbon dates for horses
- lacerta - Coordinates of presences for Iberian emerald lizard
- lacerta_ensemble - A simple ensemble for the lacerta data
- lacerta_rep_ens - A repeat ensemble for the lacerta data
- lacertidae_background - Coordinates of presences for lacertidae in the Iberian peninsula
Last updated 3 months agofrom:86c5734bf2. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 23 2024 |
R-4.5-linux | OK | Sep 23 2024 |
Exports:%>%add_memberadd_repeatblockcv2rsampleboyce_contboyce_cont_veccalib_class_threshcheck_sdm_presencecheck_splits_balanceclamp_predictorscontrol_ensemble_bayescontrol_ensemble_gridcontrol_ensemble_resamplesdist_pres_vs_bgexplain_tidysdmextrapol_messfeature_classesfilter_collinearfilter_high_corgam_formulageom_split_violingrid_cellsizegrid_offsetkap_maxkap_max_veckm2mmaxentmaxnet_fitmaxnet_predictniche_overlapoptim_threshplot_pres_vs_bgpredict_rasterregularization_multiplierrepeat_ensemblesample_backgroundsample_background_timesample_pseudoabssample_pseudoabs_timesdm_metric_setsdm_spec_boost_treesdm_spec_gamsdm_spec_glmsdm_spec_maxentsdm_spec_rand_forestsdm_spec_rfsimple_ensemblespatial_initial_splitspatial_recipethin_by_cellthin_by_cell_timethin_by_distthin_by_dist_timetsstss_maxtss_max_vecy2d
Dependencies:backportsbroomcachemclassclassIntcliclockcodetoolscolorspaceconflictedcpp11DALEXDALEXtradata.tableDBIdiagramdialsDiceDesigndigestdoFuturedplyre1071fansifarverfastmapforeachfurrrfuturefuture.applygenericsggplot2glmnetglobalsgluegowerGPfitgridExtragtablehardhatiBreakDowninferingredientsipredisobanditeratorsKernSmoothlabelinglatticelavalhslifecyclelistenvlubridatemagrittrMASSMatrixmaxnetmemoisemgcvmodeldatamodelenvmunsellnlmennetnumDerivparallellyparsnippatchworkpillarpkgconfigprettyunitsprodlimprogressrproxypurrrR6RColorBrewerRcppRcppEigenrecipesrlangrpartrsamplerstudioapis2scalessfsfdshapesliderspatialsampleSQUAREMstringistringrsurvivalterratibbletidymodelstidyrtidyselecttimechangetimeDatetunetzdbunitsutf8vctrsviridisLitewarpwithrwkworkflowsworkflowsetsyardstick
Application with palaeodata
Rendered froma1_palaeodata_application.Rmd
usingknitr::rmarkdown
on Sep 23 2024.Last update: 2024-06-25
Started: 2023-11-13
Examples of additional tidymodels features
Rendered froma2_tidymodels_additions.Rmd
usingknitr::rmarkdown
on Sep 23 2024.Last update: 2024-06-25
Started: 2023-11-13
tidysdm overview
Rendered froma0_tidysdm_overview.Rmd
usingknitr::rmarkdown
on Sep 23 2024.Last update: 2024-06-25
Started: 2023-11-13
Troubleshooting models that fail
Rendered froma3_troubleshooting.Rmd
usingknitr::rmarkdown
on Sep 23 2024.Last update: 2024-06-25
Started: 2023-11-13