Package: gofar
Type: Package
Title: Generalized Co-Sparse Factor Regression
Version: 0.1
Date: 2022-02-26
Authors@R: 
    c(person(given = 'Aditya',
             family = 'Mishra',
             role = c('aut', 'cre'),
             email = 'amishra@flatironinstitute.org'),
      person(given = 'Kun',
             family = 'Chen',
             role = 'aut'))
Maintainer: Aditya Mishra <amishra@flatironinstitute.org>
Description: Divide and conquer approach for estimating low-rank and
        sparse coefficient matrix in the generalized co-sparse factor
        regression. Please refer the manuscript 'Mishra, Aditya, Dipak
        K. Dey, Yong Chen, and Kun Chen. Generalized co-sparse factor
        regression. Computational Statistics & Data Analysis 157
        (2021): 107127' for more details.
URL: https://github.com/amishra-stats/gofar,
        https://www.sciencedirect.com/science/article/pii/S0167947320302188
Depends: R (>= 3.5), stats, utils
Imports: Rcpp (>= 0.12.9), MASS, magrittr, rrpack, glmnet
License: GPL (>= 3.0)
LazyData: TRUE
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
RoxygenNote: 7.1.2
Roxygen: list(markdown = TRUE)
Language: en-US
Repository: https://amishra-stats.r-universe.dev
Date/Publication: 2022-02-27 13:59:07 UTC
RemoteUrl: https://github.com/amishra-stats/gofar
RemoteRef: HEAD
RemoteSha: 429e113be9e2c198ab592708196734a46c8fb583
RemoteSubdir: gofar
Packaged: 2026-06-20 08:10:16 UTC; root
Author: Aditya Mishra [aut, cre],
  Kun Chen [aut]