Package: TOSI
Type: Package
Title: Two-Directional Simultaneous Inference for High-Dimensional
        Models
Version: 0.3.0
Date: 2023-01-26
Authors@R: 
    c(person(given = "Wei",
             family = "Liu",
             role = c("aut", "cre"),
             email = "weiliu@smail.swufe.edu.cn"),
      person(given = "Huazhen",
             family = "Lin",
             role = c("aut")))
Author: Wei Liu [aut, cre],
  Huazhen Lin [aut]
Maintainer: Wei Liu <weiliu@smail.swufe.edu.cn>
Description: A general framework of two directional simultaneous inference
    is provided for high-dimensional as well as the fixed dimensional models with manifest
    variable or latent variable structure, such as high-dimensional mean models, high-
    dimensional sparse regression models, and high-dimensional latent factors models.
    It is making the simultaneous inference on a set of parameters from two directions,
    one is testing whether the estimated zero parameters indeed are zero and the other is
    testing whether there exists zero in the parameter set of non-zero. More details can be 
    referred to Wei Liu, et al. (2022) <doi:10.48550/arXiv.2012.11100>.
Depends: R (>= 4.0.0)
Imports: MASS, hdi, scalreg, glmnet
URL: https://github.com/feiyoung/TOSI
BugReports: https://github.com/feiyoung/TOSI/issues
License: GPL
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-26 11:43:19 UTC; Liuxianju
Repository: CRAN
Date/Publication: 2023-01-26 22:00:30 UTC
Built: R 4.6.0; ; 2026-04-26 10:50:26 UTC; unix
