Package: UNCOVER
Type: Package
Title: Utilising Normalisation Constant Optimisation via Edge Removal
        (UNCOVER)
Version: 1.1.0
Authors@R: person("Samuel", "Emerson", email = "samuel.emerson@hotmail.co.uk",
                    role = c("aut", "cre"))
Author: Samuel Emerson [aut, cre]
Maintainer: Samuel Emerson <samuel.emerson@hotmail.co.uk>
Description: Model data with a suspected clustering structure (either
        in co-variate space, regression space or both) using a Bayesian
        product model with a logistic regression likelihood.
        Observations are represented graphically and clusters are
        formed through various edge removals or additions. Cluster
        quality is assessed through the log Bayesian evidence of the
        overall model, which is estimated using either a Sequential
        Monte Carlo sampler or a suitable transformation of the
        Bayesian Information Criterion as a fast approximation of the
        former. The internal Iterated Batch Importance Sampling scheme
        (Chopin (2002 <doi:10.1093/biomet/89.3.539>)) is made available
        as a free standing function.
License: GPL-2
Encoding: UTF-8
Imports: mvnfast, igraph, crayon, memoise, GGally, ggplot2, ggpubr,
        scales, stats, cachem, ggnewscale
RoxygenNote: 7.2.3
Roxygen: list(markdown = TRUE)
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libxml2-dev
        libssl-dev
Repository: https://samuelemerson.r-universe.dev
Date/Publication: 2023-08-25 12:38:37 UTC
RemoteUrl: https://github.com/samuelemerson/uncover
RemoteRef: HEAD
RemoteSha: db79c5a8bb948ccedf75250a72609d03a6f3e6ba
NeedsCompilation: no
Packaged: 2026-10-10 18:08:26 UTC; root