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gcf 0.1.0

• Initial CRAN release.
• GCF variable generation: gcf_field(), with step functions gcf_psi() (11 spatial-pattern operators over buffer radii), gcf_zx() (buffer-wise neighbourhood quantiles) and gcf_reduce() (functional reduction to the X/P/D candidate variables).
• Variable selection: gcf_select() (random forest impurity importance with spatial-block stability resampling and group voting) and gcf_blocks(). gcf_select() seeds the random number generator only when seed is supplied (seed = 1 reproduces the paper) and restores the caller’s generator state on exit.
• Datasets: sim_grid (paper simulation, 900 grid cells) and bio_grid (south-western Australia plant species richness, 6229 grid cells).
• Vignette: “The GCF workflow: from spatial variables to better predictions”.
• Implements Song (2026) doi:10.1080/13658816.2026.2729719; feature generation and selection reproduce the paper’s reference implementation to machine precision.

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.
Health stats visible at Monitor.