Package: tidysdm 0.0.0.9000

Russell Dinnage
tidysdm: Sprecies Distribution Modelling with Tidymodels
Provides functions and classes to help create Species Distribution Models (SDMs) within the {tidymodels} framework. Provides new {parsnip} models, new {recipes} steps, and {yardstick} metrics. This package provides access to the powerful {tidymodels} ecosystem for SDMs, especially the package {spatialsample} for spatially aware cross validation and model evaluation, as well as opening up all classification models implemented in {parsnip} for presence-only SDMs, using the pseudo-absence approach.
Authors:
tidysdm_0.0.0.9000.tar.gz
tidysdm_0.0.0.9000.zip(r-4.7)tidysdm_0.0.0.9000.zip(r-4.6)tidysdm_0.0.0.9000.zip(r-4.5)
tidysdm_0.0.0.9000.tgz(r-4.6-any)tidysdm_0.0.0.9000.tgz(r-4.5-any)
tidysdm_0.0.0.9000.tar.gz(r-4.7-any)tidysdm_0.0.0.9000.tar.gz(r-4.6-any)
tidysdm_0.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
tidysdm/json (API)
| # Install 'tidysdm' in R: |
| install.packages('tidysdm', repos = c('https://rdinnager.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rdinnager/tidysdm/issues
Pkgdown/docs site:https://rdinnager.github.io
Last updated from:5b82b81199. Checks:7 WARNING, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | WARNING | 254 | ||
| source / vignettes | OK | 1556 | ||
| linux-release-x86_64 | WARNING | 312 | ||
| macos-release-arm64 | WARNING | 132 | ||
| macos-oldrel-arm64 | WARNING | 139 | ||
| windows-devel | WARNING | 157 | ||
| windows-release | WARNING | 172 | ||
| windows-oldrel | WARNING | 155 | ||
| wasm-release | OK | 283 |
Exports::=.dataadd_env_varsas_labelas_namecreate_backgroundcreate_prediction_gridenquoenquosget_spatial_neighbourspo_spatial_buffer_vfold_cvsdm_datastep_add_env_varsstep_fill_spatial_lagsstep_initialize_spatial_lagsstep_sample_pseudo_absencesstep_thin_pseudo_absences
Dependencies:abindBHclassclassIntcliclockcodetoolscpp11data.tableDBIdiagramdigestdplyre1071farverfasterizefuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobandKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixnabornnetnngeonumDerivparallellyparsnippillarpkgconfigprettyunitsprodlimprogressrproxypurrrR6rasterRColorBrewerRcppRcppArmadilloRcppEigenrecipesrlangrparts2S7scalessfshapespsparsevctrsSQUAREMstarsstringistringrsurvivalterratibbletidyrtidyselecttimechangetimeDatetzdbunitsutf8vctrsviridisLitewithrwk
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Add environmental variables | add_env_vars |
| Make background from points | create_background |
| Generate a grid of values for making predictions | create_prediction_grid |
| Get Spatial Neighbours | get_spatial_neighbours |
| Spatial Cross Validation Designed for Presence-Only Data | po_spatial_buffer_vfold_cv |
| Convert presence points and a background area into an 'sdm_data' object suitable for a 'tidysdm' workflow. | sdm_data |
| Title | step_sample_pseudo_absences |