SIHR

The goal of SIHR is to provide inference procedures in the high-dimensional setting for (1) linear functionals in generalized linear regression ('Cai et al.' (2019) , 'Guo et al.' (2020) , 'Cai et al.' (2021)), (2) conditional average treatment effects in generalized linear regression, (3) quadratic functionals in generalized linear regression ('Guo et al.' (2019) ). (4) inner product in generalized linear regression (5) distance in generalized linear regression.