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
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