Package: nbfar
Type: Package
Title: Negative Binomial Factor Regression Models ('nbfar')
Version: 0.1
Date: 2022-02-17
Authors@R: 
    c(person(given = 'Aditya',
             family = 'Mishra',
             role = c('aut', 'cre'),
             email = 'amishra@flatironinstitute.org'),
      person(given = 'Christian',
             family = 'Mueller',
             role = 'aut'))
Maintainer: Aditya Mishra <amishra@flatironinstitute.org>
Description: We developed a negative binomial factor regression model to estimate structured (sparse) associations between a feature matrix X and overdispersed count data Y.  With 'nbfar', microbiome count data Y can be used, for example, to associate host or environmental covariates with microbial abundances. Currently, two models are available: a) Negative Binomial reduced rank regression (NB-RRR), b) Negative Binomial co-sparse factor regression (NB-FAR). Please refer the manuscript 'Mishra, A. K., & Müller, C. L. (2021). Negative Binomial factor regression with application to microbiome data analysis. bioRxiv.' for more details. 
URL: https://github.com/amishra-stats/nbfar,
        https://www.biorxiv.org/content/10.1101/2021.11.29.470304v1
Depends: R (>= 3.5.0), stats, utils
Imports: Rcpp (>= 0.12.9), MASS, magrittr, rrpack, glmnet,
        RcppParallel, mpath
License: GPL (>= 3.0)
Encoding: UTF-8
LazyData: FALSE
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
NeedsCompilation: yes
VignetteBuilder: knitr
RoxygenNote: 7.1.2
Suggests: rmarkdown, knitr, spelling
Language: en-US
Packaged: 2022-02-21 13:38:17 UTC; amishra
Author: Aditya Mishra [aut, cre],
  Christian Mueller [aut]
Repository: CRAN
Date/Publication: 2022-02-22 18:30:03 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 18:39:09 UTC; windows
Archs: i386, x64
