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>
Packaged: 2026-09-27 10:55:12 UTC; root
Config/pak/sysreqs: libicu-dev libssl-dev
Repository: https://n410412-beep.r-universe.dev
Date/Publication: 2024-07-31 02:26:46 UTC
RemoteUrl: https://github.com/cran/GUEST
RemoteRef: HEAD
RemoteSha: 5e14988a1b849ef9069b2e2588b9eec724c1eaf0