factorselect
Eigenvalue-Based Estimation of the Number of Factors in Approximate Factor Models
Eigenvalue-based estimation of the number of factors in approximate factor models. Designed to work when either N or T is large, without requiring both dimensions to grow simultaneously. Implements the eigenvalue ratio estimator of Ahn and Horenstein (2013) <doi:10.3982/ECTA8968>, the information criteria of Bai and Ng (2002) <doi:10.1111/1468-0262.00273>, the tuned penalty of Alessi, Barigozzi and Capasso (2010) <doi:10.1016/j.spl.2010.08.005>, the auto-covariance ratio estimator of Lam and Yao (2012) <doi:10.1214/12-AOS970>, and the edge distribution estimators of Onatski (2009) <doi:10.3982/ECTA6964> and Onatski (2010) <doi:10.1162/REST_a_00043>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
rolling linux/jammy R-4.5 | factorselect_0.1.3.tar.gz |
95.1 KiB |
0.1.3 |
rolling linux/noble R-4.5 | factorselect_0.1.3.tar.gz |
95.1 KiB |
0.1.3 |
rolling source/ R- | factorselect_0.1.3.tar.gz |
48.8 KiB |
0.1.3 |
latest linux/jammy R-4.5 | factorselect_0.1.3.tar.gz |
95.1 KiB |
0.1.3 |
latest linux/noble R-4.5 | factorselect_0.1.3.tar.gz |
95.1 KiB |
0.1.3 |
latest source/ R- | factorselect_0.1.3.tar.gz |
48.8 KiB |
0.1.3 |
2026-04-23 source/ R- | factorselect_0.1.3.tar.gz |
0 B |