Package: ladybird 0.0.2
ladybird: Analysis of Ladybird Occurrence Data
Analysis of ladybird occurrence data from Belgium, the Netherlands and the UK since 1990.
Authors:
ladybird_0.0.2.tar.gz
ladybird_0.0.2.zip(r-4.4)
ladybird_0.0.2.tgz(r-4.4-any)ladybird_0.0.2.tgz(r-4.3-any)
ladybird_0.0.2.tar.gz(r-4.5-noble)ladybird_0.0.2.tar.gz(r-4.4-noble)
ladybird.pdf |ladybird.html✨
ladybird/json (API)
NEWS
# Install 'ladybird' in R: |
install.packages('ladybird', repos = c('https://inbo.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/inbo/ladybird/issues
Last updated 4 years agofrom:eb7459eb06. Checks:OK: 5. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 26 2024 |
R-4.5-linux | OK | Oct 26 2024 |
R-4.4-win | OK | Oct 26 2024 |
R-4.4-mac | OK | Oct 26 2024 |
R-4.3-mac | OK | Oct 26 2024 |
Exports:base_modelcumulative_modelfit_modelimport_dataload_relevantoccurrence_mapprobability_model
Dependencies:assertthatbase64encbitbit64bslibcachemclassclassIntclicliprcolorspacecommonmarkcpp11crayoncrosstalkDBIdigestdplyre1071evaluatefansifarverfastmapfmesherfontawesomefsgenericsgit2rgit2rdatagluehighrhmshtmltoolshtmlwidgetshttpuvINLAjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleafletleaflet.providerslifecyclemagrittrMASSMatrixMatrixModelsmemoisemimemunsellpillarpkgconfigplyrpngprettyunitspROCprogresspromisesproxypurrrR6rappdirsrasterRColorBrewerRcppreadrrlangrmarkdowns2sassscalessfshinysourcetoolsspstringistringrterratibbletidyrtidyselecttinytextzdbunitsutf8vctrsviridisLitevroomwithrwkxfunxtableyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Fit a base model to a species | base_model |
Fit a model to a species using the cumulative predictions for a secundary species | cumulative_model |
Fit a model to a species using the predictions for a secondary species | fit_model |
Import and standardise the raw data | import_data |
Load the relevant occurrence data | load_relevant |
Display a leaflet map with the occurrences for a given species | occurrence_map |
Fit a model to a species using the predictions for a secondary species | probability_model |