SIHR
Statistical Inference in High Dimensional Regression
The goal of SIHR is to provide inference procedures in the high-dimensional generalized linear regression setting for: (1) linear functionals <doi:10.48550/arXiv.1904.12891> <doi:10.48550/arXiv.2012.07133>, (2) conditional average treatment effects, (3) quadratic functionals <doi:10.48550/arXiv.1909.01503>, (4) inner product, (5) distance.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.1.1 |
rolling linux/jammy R-4.5 | SIHR_2.1.1.tar.gz |
801.6 KiB |
2.1.1 |
rolling linux/noble R-4.5 | SIHR_2.1.1.tar.gz |
801.4 KiB |
2.1.1 |
rolling source/ R- | SIHR_2.1.1.tar.gz |
698.0 KiB |
2.1.1 |
latest linux/jammy R-4.5 | SIHR_2.1.1.tar.gz |
801.6 KiB |
2.1.1 |
latest linux/noble R-4.5 | SIHR_2.1.1.tar.gz |
801.4 KiB |
2.1.1 |
latest source/ R- | SIHR_2.1.1.tar.gz |
698.0 KiB |
2.1.1 |
2026-04-26 source/ R- | SIHR_2.1.1.tar.gz |
698.0 KiB |
2.1.1 |
2026-04-23 source/ R- | SIHR_2.1.1.tar.gz |
698.0 KiB |
2.1.1 |
2026-04-09 windows/windows R-4.5 | SIHR_2.1.1.zip |
805.5 KiB |
2.1.0 |
2025-04-20 source/ R- | SIHR_2.1.0.tar.gz |
698.6 KiB |