slxr
Spatial-X (SLX) Models for Applied Researchers
Tools for estimating, interpreting, and visualizing Spatial-X (SLX) regression models. Provides a formula-based interface with first-class support for variable-specific weights matrices, higher-order spatial lags, temporally-lagged spatial variables (TSLS), and tidy effects decomposition (direct, indirect, total). Designed to lower the barrier to SLX modeling for applied researchers who already work with 'sf' and 'lm'-style formulas. Methods follow Wimpy, Whitten, and Williams (2021) <doi:10.1086/710089>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | slxr_0.1.1.tar.gz |
576.0 KiB |
0.1.1 |
rolling linux/noble R-4.5 | slxr_0.1.1.tar.gz |
575.9 KiB |
0.1.1 |
rolling source/ R- | slxr_0.1.1.tar.gz |
374.0 KiB |
0.1.1 |
latest linux/jammy R-4.5 | slxr_0.1.1.tar.gz |
576.0 KiB |
0.1.1 |
latest linux/noble R-4.5 | slxr_0.1.1.tar.gz |
575.9 KiB |
0.1.1 |
latest source/ R- | slxr_0.1.1.tar.gz |
374.0 KiB |
0.1.1 |
2026-04-26 source/ R- | slxr_0.1.1.tar.gz |
374.0 KiB |
0.1.1 |
2026-04-23 source/ R- | slxr_0.1.1.tar.gz |
374.0 KiB |