Package: GUEST
Type: Package
Title: Graphical Models in Ultrahigh-Dimensional and Error-Prone Data
        via Boosting Algorithm
Version: 0.2.0
Authors@R: c(
    person("Hui-Shan", "Tsao", role=c("aut", "cre"), email="n410412@gmail.com"),
    person("Li-Pang", "Chen", role=c("aut"), email="lchen723@nccu.edu.tw")
    )
Description: We consider the ultrahigh-dimensional and error-prone data. Our goal aims to estimate the precision matrix and identify the graphical structure of the random variables with measurement error corrected. We further adopt the estimated precision matrix to the linear discriminant function to do classification for multi-label classes.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.5.0)
Suggests: sna
Imports: XICOR, network, GGally
LazyData: true
RoxygenNote: 7.3.1
NeedsCompilation: no
Author: Hui-Shan Tsao [aut, cre],
  Li-Pang Chen [aut]
Maintainer: Hui-Shan Tsao <n410412@gmail.com>
Repository: CRAN
Packaged: 2024-07-30 14:18:16 UTC; user
Date/Publication: 2024-07-30 14:30:02 UTC
Built: R 4.6.0; ; 2026-04-30 12:13:53 UTC; unix
