# ldmppr 1.1.0

* 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.

# ldmppr 1.0.4

* 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.

# ldmppr 1.0.3

# ldmppr 1.0.2

# ldmppr 1.0.1

# ldmppr 1.0.0

# ldmppr 0.1.0

* Initial CRAN submission.
