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Introduced S3 classes and associated methods for the 4 main workflow steps (fit process model/train mark model/check model fit/simulate realizations).
Replaced the estimate_parameters_sc() and
estimate_parameters_sc_parallel() functions with the
unified estimate_process_parameters() function. We
redesigned this function to provide multiple strategies for the
optimization procedure and refactored the underlying C++ code to improve
efficiency.
Removed explicit dependence on the Bundle package and introduced
the save_mark_model() and load_mark_model()
functions to handle saving and loading trained mark models.
Updated the small example dataset and example trained mark model to reflect changes in the package functions.
updated train_mark_model() and
check_model_fit() and simulate_mpp() to
include scaled_rasters argument to determine if scaling
needs to be performed.
added a new example dataset entitled
medium_example_data and corresponding raster
files.
updated the plot_mpp() function to use the operator
%>% instead of the |> operator to ensure
compatibility with older versions of R.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.