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
Language: en-US
Packaged: 2022-03-01 13:48:17 UTC; amishra
Author: Aditya Mishra [aut, cre],
  Kun Chen [aut]
Repository: CRAN
Date/Publication: 2022-03-02 08:50:10 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-18 05:18:49 UTC; windows
Archs: i386, x64
