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