phd
Permutation Testing in High-Dimensional Linear Models
Provides permutation methods for testing in high-dimensional linear models. The tests are often robust against heteroscedasticity and non-normality and usually perform well under anti-sparsity. See Hemerik, Thoresen and Finos (2021) <doi:10.1080/00949655.2020.1836183>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2 |
rolling linux/jammy R-4.5 | phd_0.2.tar.gz |
21.1 KiB |
0.2 |
rolling linux/noble R-4.5 | phd_0.2.tar.gz |
21.0 KiB |
0.2 |
rolling source/ R- | phd_0.2.tar.gz |
3.1 KiB |
0.2 |
latest linux/jammy R-4.5 | phd_0.2.tar.gz |
21.1 KiB |
0.2 |
latest linux/noble R-4.5 | phd_0.2.tar.gz |
21.0 KiB |
0.2 |
latest source/ R- | phd_0.2.tar.gz |
3.1 KiB |
0.2 |
2026-04-26 source/ R- | phd_0.2.tar.gz |
3.1 KiB |
0.2 |
2026-04-23 source/ R- | phd_0.2.tar.gz |
3.1 KiB |
0.2 |
2026-04-09 windows/windows R-4.5 | phd_0.2.zip |
23.4 KiB |
0.2 |
2025-04-20 source/ R- | phd_0.2.tar.gz |
3.1 KiB |