Package: maclogp
Title: Measures of Uncertainty for Model Selection
Version: 0.1.1
Authors@R: c(person("Yuanyuan", "Li", role = c("aut", "cre"),
                     email = "yynli9696@gmail.com"),
              person("Jiming", "Jiang", role = "ths"))
Maintainer: Yuanyuan Li <yynli9696@gmail.com>
Description: Following the common types of measures of uncertainty for
        parameter estimation, two measures of uncertainty were proposed
        for model selection, see Liu, Li and Jiang (2020)
        <doi:10.1007/s11749-020-00737-9>. The first measure is a kind
        of model confidence set that relates to the variation of model
        selection, called Mac. The second measure focuses on error of
        model selection, called LogP. They are all computed via
        bootstrapping. This package provides functions to compute these
        two measures. Furthermore, a similar model confidence set
        adapted from Bayesian Model Averaging can also be computed
        using this package.
License: GPL (>= 3)
URL: https://github.com/YuanyuanLi96/maclogp
BugReports: https://github.com/YuanyuanLi96/maclogp/issues
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1.9001
Imports: BMA, plot.matrix, rlist, utils
NeedsCompilation: no
Packaged: 2026-06-19 10:31:43 UTC; root
Depends: R (>= 3.5.0)
Config/pak/sysreqs: libxml2-dev
Repository: https://yuanyuanli96.r-universe.dev
Date/Publication: 2022-11-25 03:27:45 UTC
RemoteUrl: https://github.com/yuanyuanli96/maclogp
RemoteRef: HEAD
RemoteSha: 6e8e329a53a54ebee38ee84eaf38041bf9eef638
Author: Yuanyuan Li [aut, cre],
  Jiming Jiang [ths]