R: Sparse-Smooth Spatially Varying Coefficient Quantile Regression

# Sparse-Smooth Spatially Varying Coefficient Quantile Regression

## Documentation for package ‘sssvcqr’ version 0.0.4

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

sssvcqr-package | Sparse-Smooth Spatially Varying Coefficient Quantile Regression
build_graph_laplacian | Build a weighted k-nearest-neighbor graph Laplacian
cv_ss_svcqr | Spatially blocked cross-validation for SS-SVCQR
kkt_sssvcqr | KKT diagnostics for an SS-SVCQR fit
lucas_housing_sample | Lucas County housing sample
make_spatial_folds | Create spatial cross-validation folds
plot.sssvcqr | Plot an SS-SVCQR fit
predict.sssvcqr | Predict from an SS-SVCQR fit
selection_recovery_table | Compare true and estimated spatial-deviation selection
simulate_sssvcqr_data | Simulate data for SS-SVCQR examples
sssvcqr | Sparse-Smooth Spatially Varying Coefficient Quantile Regression
ss_svcqr | Fit sparse-smooth spatially varying coefficient quantile regression