Package: PosteriorBootstrap
Title: Non-Parametric Sampling with Parallel Monte Carlo
Version: 0.1.3
Authors@R: c(
    person(given = "Simon", family = "Lyddon", role = c("aut"), email = "simon.lyddon@stats.ox.ac.uk"),
    person(given = "Miguel", family = "Morin", role = c("aut"), email = "info@turing.ac.uk"),
    person(given = "James", family = "Robinson", role = c("aut", "cre"), email = "james.em.robinson@gmail.com"),
    person(given = "Matt", family = "Craddock", role = c("ctb"), email = "mcraddock@turing.ac.uk"),
    person("The Alan Turing Institute", role=c("cph"), email = "info@turing.ac.uk"))
Description: An implementation of a non-parametric statistical model
        using a parallelised Monte Carlo sampling scheme. The method
        implemented in this package allows non-parametric inference to
        be regularized for small sample sizes, while also being more
        accurate than approximations such as variational Bayes. The
        concentration parameter is an effective sample size parameter,
        determining the faith we have in the model versus the data.
        When the concentration is low, the samples are close to the
        exact Bayesian logistic regression method; when the
        concentration is high, the samples are close to the simplified
        variational Bayes logistic regression. The method is described
        in full in the paper Lyddon, Walker, and Holmes (2018),
        "Nonparametric learning from Bayesian models with randomized
        objective functions" <doi:10.48550/arXiv.1806.11544>.
Language: en-GB
License: MIT + file LICENSE
Encoding: UTF-8
Imports: e1071 (>= 1.7.1), MASS (>= 7.3.51.1), utils (>= 3.4.3)
Suggests: BH (>= 1.81.0), covr (>= 3.3.0), dplyr (>= 0.7.4), ggplot2
        (>= 3.1.1), gridExtra (>= 2.3), knitr (>= 1.21), lintr (>=
        1.0.3), RcppEigen (>= 0.3.3), RcppParallel (>= 5.1.7),
        rmarkdown (>= 1.11), roxygen2 (>= 6.1.1), rstan (>= 2.18.2),
        testthat (>= 2.0.1), tibble (>= 2.1.1)
VignetteBuilder: knitr, rmarkdown
URL: https://github.com/alan-turing-institute/PosteriorBootstrap/
BugReports: https://github.com/alan-turing-institute/PosteriorBootstrap/issues
Config/roxygen2/version: 8.1.0
Repository: https://alan-turing-institute.r-universe.dev
Date/Publication: 2026-09-07 15:06:28 UTC
RemoteUrl: https://github.com/alan-turing-institute/posteriorbootstrap
RemoteRef: HEAD
RemoteSha: 6bb8fbb3a41cf133015d443c1746859618ce7998
NeedsCompilation: no
Packaged: 2026-09-21 11:48:57 UTC; root
Author: Simon Lyddon [aut],
  Miguel Morin [aut],
  James Robinson [aut, cre],
  Matt Craddock [ctb],
  The Alan Turing Institute [cph]
Maintainer: James Robinson <james.em.robinson@gmail.com>