Package: peperr
Type: Package
Date: 2026-03-24
Title: Parallelised Estimation of Prediction Error
Version: 1.7
Depends: snowfall, survival, methods
Suggests: CoxBoost, glmnet, grpreg, locfit, mboost, ncvreg, penalized,
        randomForestSRC, rlecuyer, SGL, codetools, testthat (>= 3.0.0)
Authors@R: c(person(given = "Christine",
                        family = "Porzelius",
                        role = "aut"),
                 person(given = "Harald",
                        family = "Binder",
                        role = "aut"),
                 person(given = "Frederic",
                        family = "Bertrand",
                        role = "cre",
                        email = "frederic.bertrand@lecnam.net"))
Author: Christine Porzelius [aut],
  Harald Binder [aut],
  Frederic Bertrand [cre]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Designed for prediction error estimation
        through resampling techniques, possibly accelerated by parallel
        execution on a compute cluster. Newly developed model fitting
        routines can be easily incorporated. Methods used in the package are detailed in
        Porzelius Ch., Binder H. and Schumacher M. (2009) <doi:10.1093/bioinformatics/btp062>
        and were used, for instance, in
        Porzelius Ch., Schumacher M. and Binder H. (2011) <doi:10.1007/s00180-011-0236-6>.
License: GPL (>= 2)
NeedsCompilation: yes
RoxygenNote: 7.1.1
URL: https://github.com/fbertran/peperr,
        https://fbertran.github.io/peperr/
BugReports: https://github.com/fbertran/peperr/issues
Config/testthat/edition: 3
Packaged: 2026-03-24 22:31:27 UTC; bertran7
Repository: CRAN
Date/Publication: 2026-03-25 06:10:46 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 15:20:54 UTC; unix
Archs: peperr.so.dSYM
