Package: argminCS
Type: Package
Title: Argmin Inference over a Discrete Candidate Set
Version: 1.1.0
Date: 2025-07-07
Authors@R: c(
    person(given = "Tianyu", family = "Zhang", role = "aut"),
    person(given = "Hao", family = "Lee", role = c("aut", "cre", "cph"), email = "haolee@andrew.cmu.edu"),
    person(given = "Jing", family = "Lei", role = "aut")
    )
Description: Provides methods to construct frequentist confidence sets with valid marginal 
    coverage for identifying the population-level argmin or argmax based on IID data. 
    For instance, given an n by p loss matrix—where n is the sample size and p is the 
    number of models—the CS.argmin() method produces a discrete confidence set that contains 
    the model with the minimal (best) expected risk with desired probability. The argmin.HT() 
    method helps check if a specific model should be included in such a confidence set. The main
    implemented method is proposed by Tianyu Zhang, Hao Lee and Jing Lei (2024) 
    "Winners with confidence: Discrete argmin inference with an application to model selection".
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
RdMacros: Rdpack
Imports: BSDA, glue, LDATS, MASS, methods, Rdpack, stats, withr
URL: https://github.com/xu3cl4/argminCS
NeedsCompilation: no
Packaged: 2025-07-09 02:22:50 UTC; haolee
Author: Tianyu Zhang [aut],
  Hao Lee [aut, cre, cph],
  Jing Lei [aut]
Maintainer: Hao Lee <haolee@andrew.cmu.edu>
Repository: CRAN
Date/Publication: 2025-07-14 16:30:09 UTC
Built: R 4.6.0; ; 2026-04-28 23:15:56 UTC; unix
