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
RoxygenNote: 7.1.1.9001
Imports: BMA, plot.matrix, rlist, utils
NeedsCompilation: no
Packaged: 2021-04-22 04:50:15 UTC; yuanyuanli
Depends: R (>= 3.5.0)
Author: Yuanyuan Li [aut, cre],
  Jiming Jiang [ths]
Repository: CRAN
Date/Publication: 2021-04-22 07:40:02 UTC
Built: R 4.6.0; ; 2026-04-26 04:06:17 UTC; unix
