rIsing
High-Dimensional Ising Model Selection
Fits an Ising model to a binary dataset using L1 regularized logistic regression and extended BIC. Also includes a fast lasso logistic regression function for high-dimensional problems. Uses the 'libLBFGS' optimization library by Naoaki Okazaki.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | rIsing_0.1.0.tar.gz |
97.7 KiB |
0.1.0 |
rolling linux/noble R-4.5 | rIsing_0.1.0.tar.gz |
101.0 KiB |
0.1.0 |
rolling source/ R- | rIsing_0.1.0.tar.gz |
29.5 KiB |
0.1.0 |
latest linux/jammy R-4.5 | rIsing_0.1.0.tar.gz |
97.7 KiB |
0.1.0 |
latest linux/noble R-4.5 | rIsing_0.1.0.tar.gz |
101.0 KiB |
0.1.0 |
latest source/ R- | rIsing_0.1.0.tar.gz |
29.5 KiB |
0.1.0 |
2026-04-26 source/ R- | rIsing_0.1.0.tar.gz |
29.5 KiB |
0.1.0 |
2026-04-23 source/ R- | rIsing_0.1.0.tar.gz |
29.5 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | rIsing_0.1.0.zip |
420.4 KiB |
0.1.0 |
2025-04-20 source/ R- | rIsing_0.1.0.tar.gz |
29.5 KiB |