Function reference
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attach_xy() - Attach XY coordinates to a data frame
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df_params() - Get data.frame of function parameters
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feature_raw_download() - Check file status and download if necessary
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load_modis_files() - Load MODIS files from a specified path.
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loadargs() - Load arguments from the formatted argument list file
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read_locs() - Read AQS data
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read_paths() - Read paths from a directory with a specific file extension
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search_function() - Search package functions
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set_args_calc() - Set arguments for the calculation process
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set_slurm_resource() - Set resource management for SLURM
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calc_geos_strict() - Process atmospheric composition data by chunks (v3)
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calc_gmted_direct() - Reflown gmted processing
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calc_narr2() - Calculate aggregated values for specified locations
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calculate() - Spatiotemporal covariate calculation
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inject_calculate() - Injects the calculate function with specified arguments.
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inject_geos() - Injects geographic information into a data frame
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inject_gmted() - Injects GMTED data into specified locations
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inject_modis_par() - Injects arguments to parallelize MODIS/VIIRS data processing
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par_narr() - Parallelize NARR feature calculation
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process_counties() - Load county sf object
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process_geos_bulk() - Process atmospheric composition data by chunks (v2)
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process_narr2() - Process NARR2 Data
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add_time_col() - Add Time Column
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append_predecessors() - Append Predecessors
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impute_all() - Impute missing values and attach lagged features
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post_calc_autojoin() - Automatic joining by the time and spatial identifiers
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post_calc_convert_time() - Convert time column to character
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post_calc_df_year_expand() - Expand a data frame by year
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post_calc_drop_cols() - Remove columns from a data frame based on regular expression patterns.
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post_calc_join_yeardate() - Join a data.frame with a year-only date column to that with a full date column
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post_calc_merge_all() - Merge spatial and spatiotemporal covariate data
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post_calc_merge_features() - Merge input data.frame objects
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post_calc_unify_timecols() - Change time column name
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post_calc_year_expand() - Map the available raw data years over the given period
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reduce_merge() - Reduce and merge a list of data tables
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convert_cv_index_rset() - Generate manual rset object from spatiotemporal cross-validation indices
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fit_base_brulee() - Base learner: Multilayer perceptron with brulee
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fit_base_elnet() - Base learner: Elastic net
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fit_base_xgb() - Base learner: Extreme gradient boosting (XGBoost)
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generate_cv_index() - Generate spatio-temporal cross-validation index with anticlust
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vis_rset() - Visualize the spatio-temporal cross-validation index
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meta_learner_fit() - Fit a BART (Bayesian Additive Regression Tree) meta learner. It takes predictions of other models such as kriging, GLM, machine learning models as input and fits a BART Model
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meta_learner_predict() - Create meta_learner predictions from the list of BART fit objects and predictions of base learners