Package: SIHR 2.1.0

Zijian Guo

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.

Authors:Zhenyu Wang [aut], Prabrisha Rakshit [aut], Tony Cai [aut], Zijian Guo [aut, cre]

SIHR_2.1.0.tar.gz
SIHR_2.1.0.zip(r-4.5)SIHR_2.1.0.zip(r-4.4)SIHR_2.1.0.zip(r-4.3)
SIHR_2.1.0.tgz(r-4.4-any)SIHR_2.1.0.tgz(r-4.3-any)
SIHR_2.1.0.tar.gz(r-4.5-noble)SIHR_2.1.0.tar.gz(r-4.4-noble)
SIHR_2.1.0.tgz(r-4.4-emscripten)SIHR_2.1.0.tgz(r-4.3-emscripten)
SIHR.pdf |SIHR.html✨
SIHR/json (API)

Peer review:

Bug tracker:https://github.com/zywang0701/sihr/issues

On CRAN:

6 exports 1 stars 1.54 score 20 dependencies 1 dependents 1 mentions 8 scripts 345 downloads

Last updated 5 months agofrom:f7e6b78586. Checks:OK: 7. Indexed: yes.

Exports:CATEciDistInnProdLFQF

Dependencies:bitbit64clarabelcodetoolsCVXRECOSolveRforeachglmnetgmpiteratorslatticeMatrixosqpR6RcppRcppEigenRmpfrscsshapesurvival