Package: colvR
Type: Package
Title: Poisson Lognormal with Dimension Reduction for Count Matrices
        with Missing Data
Version: 0.2.1
Authors@R: 
    person("Barbara", "Bricout",
           email = "barbara.bricout@gmail.com",
           role = c("aut", "cre"))
Description: Impute missing data in count tables using a Poisson lognormal
    model with dimension reduction, with and without zero inflation, as
    described in Bricout et al. (2026) <doi:10.48550/arXiv.2602.10673>.
    Parameters are estimated with a variational expectation-maximization
    algorithm. The package also provides the asymptotic variance of the
    estimators, prediction intervals for the imputed counts, and model
    selection criteria (Bayesian information criterion, BIC, and
    integrated completed likelihood, ICL) to choose the dimension 
    of the latent space.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
Imports: Rcpp, PLNmodels, Matrix, mvtnorm, pbapply, lori, MASS
LinkingTo: Rcpp, RcppArmadillo, nloptr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spelling
Config/testthat/edition: 3
VignetteBuilder: knitr
SystemRequirements: NLopt, C++17
URL: https://github.com/BBricout/colvR,
        https://bbricout.github.io/colvR/
BugReports: https://github.com/BBricout/colvR/issues
Depends: R (>= 3.5)
Config/roxygen2/version: 8.1.1
NeedsCompilation: yes
Packaged: 2026-10-27 16:01:02 UTC; bbricout
Author: Barbara Bricout [aut, cre]
Maintainer: Barbara Bricout <barbara.bricout@gmail.com>
Repository: CRAN
Date/Publication: 2026-11-12 14:50:08 UTC
