Package: IOLS
Title: Iterated Ordinary Least Squares Regression
Version: 0.1.4
Authors@R: c(person("Nassim", "Zbalah", email = "nas66.nz@gmail.com", role = "cre"), person("David", "Benatia", email = "david.benatia@hec.com", role = "aut"))
Description: Addresses the 'log of zero' by developing a new family of 
    estimators called iterated Ordinary Least Squares. 
    This family nests standard approaches such as log-linear and 
    Poisson regressions, offers several computational advantages, 
    and corresponds to the correct way to perform the popular 
    log(Y + 1) transformation. For more details about how to use it, 
    see the notebook at: <https://www.davidbenatia.com/>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.2
Imports: stats, utils, sandwich, matlib, boot, randomcoloR, stringr
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2023-04-07 20:37:35 UTC; Zbalah
Author: Nassim Zbalah [cre],
  David Benatia [aut]
Maintainer: Nassim Zbalah <nas66.nz@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-07 20:50:02 UTC
Built: R 4.6.0; ; 2026-04-25 14:04:37 UTC; unix
