Package index
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gwr_fit() - Fit an unpenalized geographically weighted regression
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gwr_select() - Joint subset, kernel and bandwidth selection for unpenalized GWR
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gwr_select_verify() - Verify a joint GWR selection checkpoint
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summary(<gwrs_selection>) - Summarize joint GWR selection
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gwr_lasso()gwr_ridge()gwr_en() - Formula interfaces for reference penalized GWR models
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gwr_lasso_fit()gwr_ridge_fit()gwr_en_fit() - Fit geographically weighted lasso, ridge, or elastic net
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gwr_nonconvex()gwr_scad()gwr_mcp() - Formula interfaces for nonconvex GWR
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gwr_nonconvex_fit()gwr_scad_fit()gwr_mcp_fit() - Fast nonconvex geographically weighted regression
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gwr_nonconvex_path()gwr_scad_path()gwr_mcp_path() - Warm-started GWR-SCAD and GWR-MCP paths
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cv_gwr_nonconvex()cv_gwr_scad()cv_gwr_mcp() - Spatial cross-validation for GWR-SCAD and GWR-MCP
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gwr_nonconvex_cv_cache() - Prepare reusable training-fold inputs for SCAD/MCP cross-validation
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predict(<gwrs_fit>) - Predict from a fitted geographically weighted model
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summary(<gwrs_fit>) - Summarize a fitted gwrs model
Diagnostics and interpretation
Descriptive checks and explicitly exploratory reference calculations.
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gwr_diagnostics() - Extract statistical diagnostics from a gwrs fit
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gwr_local_inference() - Exploratory local coefficient inference
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gwr_diagnostic_tests() - GWR-style diagnostic F-tests
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gwr_moran()gwr_local_moran()gwr_moran_diagnostics() - Sparse residual Moran diagnostics
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gwr_local_collinearity() - Fast local multicollinearity diagnostics
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gwr_global_collinearity() - Global predictor collinearity diagnostics
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gwr_neighbors() - Build a reusable nearest-neighbor structure
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spatial_folds() - Construct reproducible spatially contiguous folds
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gwrs_control() - Control numerical fitting in `gwrs`
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acs2020_2024_counties - County analysis data from the 2020–2024 ACS five-year Data Profiles
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acs2024_counties - Compatibility name for the 2020–2024 ACS county data