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:Russell Dinnage [aut, cre]

tidysdm_0.0.0.9000.tar.gz
tidysdm_0.0.0.9000.zip(r-4.5)tidysdm_0.0.0.9000.zip(r-4.4)tidysdm_0.0.0.9000.zip(r-4.3)
tidysdm_0.0.0.9000.tgz(r-4.4-any)tidysdm_0.0.0.9000.tgz(r-4.3-any)
tidysdm_0.0.0.9000.tar.gz(r-4.5-noble)tidysdm_0.0.0.9000.tar.gz(r-4.4-noble)
tidysdm_0.0.0.9000.tgz(r-4.4-emscripten)tidysdm_0.0.0.9000.tgz(r-4.3-emscripten)
tidysdm.pdf |tidysdm.html✨
tidysdm/json (API)

# Install 'tidysdm' in R:
install.packages('tidysdm', repos = c('https://rdinnager.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rdinnager/tidysdm/issues

Datasets:

    On CRAN:

    3.32 score 1 stars 42 scripts 380 downloads 17 exports 87 dependencies

    Last updated 1 years agofrom:5b82b81199. Checks:OK: 1 WARNING: 6. Indexed: no.

    TargetResultDate
    Doc / VignettesOKNov 20 2024
    R-4.5-winWARNINGNov 20 2024
    R-4.5-linuxWARNINGNov 20 2024
    R-4.4-winWARNINGNov 20 2024
    R-4.4-macWARNINGNov 20 2024
    R-4.3-winWARNINGNov 20 2024
    R-4.3-macWARNINGNov 20 2024

    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:abindBHclassclassIntcliclockcodetoolscolorspacecpp11data.tableDBIdiagramdigestdplyre1071fansifarverfasterizefuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobandKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvmunsellnabornlmennetnngeonumDerivparallellyparsnippillarpkgconfigprettyunitsprodlimprogressrproxypurrrR6rasterRColorBrewerRcppRcppArmadilloRcppEigenrecipesrlangrparts2scalessfshapespSQUAREMstarsstringistringrsurvivalterratibbletidyrtidyselecttimechangetimeDatetzdbunitsutf8vctrsviridisLitewithrwk

    Getting Started with {tidysdm}

    Rendered fromgetting_started.Rmdusingknitr::rmarkdownon Nov 20 2024.

    Last update: 2023-10-26
    Started: 2022-10-03