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
NeedsCompilation: no
Packaged: 2023-08-25 12:40:06 UTC; zmxp16
Repository: CRAN
Date/Publication: 2023-08-25 13:50:11 UTC
Built: R 4.6.0; ; 2026-04-25 14:16:10 UTC; unix
