CAST 1.1.1

• bug fix: handling of errors when server unavailable, conditional tests

CAST 1.1.0

• new features:
  • knndm for train-test splits
  • ffs allows for searching the whole range of predictors (earlyStopping=FALSE)
• bug fix:
  • sampling of prediction points in geodist no longer requires reprojection and transformation of raster modeldomains by default (issue #130)
  • now allows for tibble in AOA
• modifications:
  • geodist was re-structured, and some parameters have been re-named (‘cvtrain’ to ‘CVtrain’, ‘cvfolds’ to ‘CVtest’, ‘type’ to ‘dist_space’, ‘timevar’ to ‘time_var’) or newly introduced (‘dist_fun’, ‘scale_vars’)
  • knndm was re-structured to a lesser extent, the ‘space’ parameter has been re-named to ‘dist_space’, ‘useMD’ was dropped and replaced by ‘dist_fun’, ‘scale_vars’ was newly introduced
  • AOA as a generic
• other improvements:
  • several new tests
  • added code coverage
  • improved documentation
  • unify plotting style
  • removed dependencies
  • workflow figure improved

CAST 1.0.4

• bug fix: formatting issues in tests
• references updated

CAST 1.0.3

• bug fix: default algorithm for FNN functions changed

CAST 1.0.2

• bug fix: tests run conditionally

CAST 1.0.1

• bug fix: fix failed tests in global_validation

CAST 1.0.0

• new features:
  • calculate local point density within AOA
  • option of spatial error profiles (errorProfiles with variable=“geodist”)
  • normalize_DI for a more intuitive interpretation
  • geodist allows calculating temporal distances
  • ffs now can be run in parallel (Linux only)
  • vignette “Cross-validation methods in CAST”
  • knndm in feature space (experimental)
  • nndm in feature space (experimental)
• modifications:
  • function DItoErrormetric renamed to errorProfiles and allows for other dissimilarity measures
  • Improvement and homogenization of plotting methods for nndm, knndm and geodist objects
  • aoa and trainDI weight now allows list input
  • vignette on Introduction to CAST updated
• deprecated: plot_geodist (replaced by plot.geodist) plot_ffs (replaced by plot.ffs) *calibrate_aoa (replaced by errorProfiles)

CAST 0.9.0

• new features:
  • CAST functions now return classes with generic plotting and printing
  • new dataset for examples, tutorials and testing: data(splotdata)
• modifications:
  • calibrate_aoa is now DItoErrormetric and returns a model (see function documentation)
  • plot_geodist is now geodist. The result can be visualized with plot()
  • plot_ffs is now plot(ffs)
• bug fix:
  • fix issue #65 (threshold)
• deprecated (soon):
  • plot_geodist, plot_ffs, calibrate_aoa

CAST 0.8.1

• bugfix:
  • failed checks on Fedora 34 fixed

CAST 0.8.0

• new features:
  • knndm as an alternative to nndm for large training data
• modifications:
  • transition from raster to terra

CAST 0.7.1

• new features:
  • Mahalanobis distance for AOA assessment as option
• modifications:
  • faster estimation of the AOA
  • parallel option for AOA deprecated (see vignette)
    • delineation of the default threshold fixed as suggested in github.com/HannaMeyer/CAST/issues/46
• bugfix:
  • fixed issue github.com/ropensci/rnaturalearth/issues/69

CAST 0.7.0

• new feature:
  • nndm cross-validation as suggested by Milà et al. (2022)
• modifications
  • plot_geodist works with NNDM
  • trainDI works with NNDM
  • rename of parameter folds in AOA and trainDI

CAST 0.6.0

• new feature:
  • trainDI allows to calculate the DI of the training dataset separately from the aoa function
  • plot and print functions for the AOA
  • function to plot nearest neighbor distance distributions in geographic and feature space
  • function global_validation added
• modifications
  • extensive restructuring of the AOA function
  • ffs and bss can be used with global_validation
• bugfix:
  • error in manual assignment of weights fixed

CAST 0.5.1

• resolved dependence on package “GSIF” which was removed from the CRAN repository

CAST 0.5.0

• new feature:
  • AOA can run in parallel
  • calibration of the DI (calibrate_aoa)
• bugfix:
  • aoa will work now with large training sets
• modifications:
  • default threshold of AOA changed

CAST 0.4.2

• new feature:
  • aoa now working with categorical variables
• bugfix:
  • fixed error in ffs when >170 variables are used
• minor changes:
  • changed order of parameters in aoa
  • tutorial “Introduction to CAST” improved

CAST 0.4.1

• new feature:
  • vignette: tutorial introducing the “area of applicability”
  • variable threshold for aoa
  • various modifications in aoa in line with submitted paper

CAST 0.4.0

• new feature:
  • new function “aoa”: quantify and visualize the area of applicability of spatial prediction models
  • “minVar” in ffs: Instead of always starting with 2-pair combinations, ffs can now also be started with combinations of more variables (e.g starting with all combinations of 3)
• bugfix:
  • ffs failed for “svmLinear” in previous version because of S4 class issues. Fixed now.

CAST 0.3.1

• bugfix:
  • CreateSpaceTimeFolds accepts tibbles
  • CreateSpaceTimeFolds automatically reduces k if necessary
  • ffs accepts further arguments taken by caret::train
• new feature: plot_ffs has option to plot selected variables only

CAST 0.3.0

• new feature: Best subset selection (bss) with target-oriented validation as (very slow but very reliable) alternative to ffs

• minor adaptations: verbose option included, improved examples for ffs

• bugfix: minor adaptations done for usage with plsr

CAST 0.2.1

• new feature: Introduction to CAST is included as a vignette.

• bugfix: minor error fixed in using user defined metrics for model selection.

CAST 0.2.0

• bugfix: ffs with option withinSE=TRUE did not choose a model as “best model” if it was within the SE of a model that was trained in an earlier run but had the same number of variables. This bug is fixed and if withinSE=TRUE ffs now only compares the performance to models that use less variables (e.g. if a model using 5 variables is better than a model using 4 variables but still in the SE of the 4-variable model, then the 4-variable model is rated as the better model).

• new feature: plot_ffs plots the results of ffs to visualize how the performance changes according to model run and the number of variables being used.

CAST 0.1.0

Initial public version on CRAN