~ruther/guix-local

b13d6c5715b71c4499ce37ef3968e4216125a5ed — Mădălin Ionel Patrașcu 2 years ago e8292cc
gnu: Add r-imifa.

* gnu/packages/cran.scm (r-imifa): New variable.

Change-Id: I0046faadb9546ae1fa8437db72b784307deba241
1 files changed, 35 insertions(+), 0 deletions(-)

M gnu/packages/cran.scm
M gnu/packages/cran.scm => gnu/packages/cran.scm +35 -0
@@ 11768,6 11768,41 @@ point} (IP), @dfn{majorize and minimize} (MM), @dfn{coordinate descent} (CD),
and @dfn{alternating direction method of multipliers algorithms} (ADMM).")
    (license license:gpl2+)))

(define-public r-imifa
  (package
    (name "r-imifa")
    (version "2.2.0")
    (source
     (origin
       (method url-fetch)
       (uri (cran-uri "IMIFA" version))
       (sha256
        (base32 "08h53w1axvmvnd4z1nf5bsps5sr6g8a77q6pvg39ss7jcfqm800v"))))
    (properties `((upstream-name . "IMIFA")))
    (build-system r-build-system)
    (propagated-inputs
     (list r-matrixstats
           r-mvnfast
           r-mclust
           r-rfast
           r-slam
           r-viridislite))
    (native-inputs (list r-knitr))
    (home-page "https://cran.r-project.org/package=IMIFA")
    (synopsis
     "Infinite mixtures of infinite factor analysers and related models")
    (description
     "This package provides flexible Bayesian estimation of @acronym{IMIFA,
infinite mixtures of infinite factor analysers} and related models, for
nonparametrically clustering high-dimensional data.  The IMIFA model conducts
Bayesian nonparametric model-based clustering with factor analytic covariance
structures without recourse to model selection criteria to choose the number of
clusters or cluster-specific latent factors, mostly via efficient Gibbs updates.
Model-specific diagnostic tools are also provided, as well as many options for
plotting results, conducting posterior inference on parameters of interest,
posterior predictive checking, and quantifying uncertainty.")
    (license license:gpl3+)))

(define-public r-import
  (package
    (name "r-import")