Package: EBASS
Type: Package
Title: Sample Size Calculation Method for Cost-Effectiveness Studies
        Based on Expected Value of Perfect Information
Version: 0.1
Date: 2016-10-02
Authors@R: c(person("Sebastien", "Cossin", role=c("aut", "cre"), email="cossin.sebastien@gmail.com"),
  person("Clement", "Bader", role="ctb"),
  person("Morgane", "Donadel", role="ctb"),
  person("Aline", "Maillard", role="ctb"),
  person("Antoine", "Benard", role="ctb"))
Maintainer: Sebastien Cossin <cossin.sebastien@gmail.com>
URL: https://github.com/scossin/EBASS
BugReports: https://github.com/scossin/EBASS/issues
Description: We propose a new sample size calculation method for trial-based
    cost-effectiveness analyses. Our strategy is based on the value of perfect
    information that would remain after the completion of the study.
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
Collate: 'POP.R' 'INMB_DIRECT.R' 'VAR_INMB_DIRECT.R' 'EVPI.R'
        'internal.R' 'INMB.R' 'Lambda.R' 'VAR_INMB.R' 'VAR_INMB_DIFF.R'
        'fonctions_sujets.R'
Imports: methods
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-10-02 08:09:56 UTC; root
Author: Sebastien Cossin [aut, cre],
  Clement Bader [ctb],
  Morgane Donadel [ctb],
  Aline Maillard [ctb],
  Antoine Benard [ctb]
Repository: CRAN
Date/Publication: 2016-10-02 13:18:36
Built: R 4.0.2; ; 2020-07-15 12:30:03 UTC; unix
