symbolicr
Symbolic Regression Framework
Find non-linear formulas that fits your input data. You can systematically explore and memorize the possible formulas and it's cross-validation performance, in an incremental fashion. Three main interoperable search functions are available: 1) random.search() performs a random exploration, 2) genetic.search() employs a genetic optimization algorithm, 3) comb.search() combines best results of the first two. For more details see Tomasoni et al. (2026) <doi:10.1208/s12248-026-01232-z>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | symbolicr_1.0.0.tar.gz |
145.6 KiB |
1.0.0 |
rolling linux/noble R-4.5 | symbolicr_1.0.0.tar.gz |
145.5 KiB |
1.0.0 |
rolling source/ R- | symbolicr_1.0.0.tar.gz |
60.9 KiB |
1.0.0 |
latest linux/jammy R-4.5 | symbolicr_1.0.0.tar.gz |
145.6 KiB |
1.0.0 |
latest linux/noble R-4.5 | symbolicr_1.0.0.tar.gz |
145.5 KiB |
1.0.0 |
latest source/ R- | symbolicr_1.0.0.tar.gz |
60.9 KiB |
1.0.0 |
2026-04-26 source/ R- | symbolicr_1.0.0.tar.gz |
60.9 KiB |
1.0.0 |
2026-04-23 source/ R- | symbolicr_1.0.0.tar.gz |
60.9 KiB |