This package is considered a duplicate. The official version of this package is found at:https://rspatial.r-universe.dev/predicts
Package: predicts 0.1-17
Robert J. Hijmans
predicts: Spatial Prediction Tools
Methods for spatial predictive modeling, especially for spatial distribution models. This includes algorithms for model fitting and prediction, as well as methods for model evaluation.
Authors:
predicts_0.1-17.tar.gz
predicts_0.1-17.tar.gz(r-4.5-noble)predicts_0.1-17.tar.gz(r-4.4-noble)
predicts_0.1-17.tgz(r-4.4-emscripten)predicts_0.1-17.tgz(r-4.3-emscripten)
predicts.pdf |predicts.html✨
predicts/json (API)
| # Install 'predicts' in R: |
| install.packages('predicts', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rspatial/predicts/issues
Last updated 2 days agofrom:e49fb94aa3. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 25 2024 |
| R-4.5-linux | OK | Nov 25 2024 |
Exports:backgroundSamplebcvarscm_evaluatedividerenvelopefoldsgeometryhullModelMaxEntmesspa_evaluatepartialResponsepartialResponse2plotpredictpwd_samplepycnophyRMSERMSE_nullstripperthresholdvarImportance
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Spatial prediction | predicts-package predicts |
| Random points | backgroundSample |
| bioclimatic variables | bcvars bcvars,matrix,matrix,matrix-method bcvars,numeric,numeric,numeric-method bcvars,SpatRaster,SpatRaster,SpatRaster-method |
| Model evaluation with a confusion matrix | cm_evaluate |
| Divide polygons into equal area parts | divider stripper |
| Fit a (climate) envelope model and make predictions | envelope envelope,data.frame-method envelope,matrix-method envelope,SpatRaster-method envelope_model-class |
| Make folds for k-fold partitioning | folds |
| hull model | geometry geometry,hull_model-method hullModel hullModel,data.frame-method hullModel,matrix-method hullModel,SpatVector-method hull_model-class plot,hull_model,missing-method |
| MaxEnt | MaxEnt MaxEnt,data.frame,numeric-method MaxEnt,missing,missing-method MaxEnt,SpatRaster,ANY-method MaxEnt,SpatRaster,SpatVector-method MaxEnt_model-class MaxEnt_model_replicates-class |
| Multivariate environmental similarity surfaces (MESS) | mess mess,data.frame-method mess,SpatRaster-method |
| Presence/absence Model evaluation | paModelEvaluation-class pa_evaluate plot,paModelEvaluation,ANY-method |
| Get partial response data | partialResponse partialResponse2 |
| Plot predictor values | plot,envelope_model,missing-method plot,MaxEnt_model,ANY-method |
| Spatial model predictions | predict predict,envelope_model-method predict,hull_model-method predict,MaxEnt_model-method predict,MaxEnt_model_replicates-method |
| Pair-wise distance sampling | pwd_sample |
| Pycnophylactic interpolation. | pycnophy |
| Root Mean Square Error | RMSE RMSE_null |
| Class "SDM" | SDM-class |
| Find a threshold | threshold threshold,paModelEvaluation-method |
| Get variable importance | varImportance |
