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: 2026-06-23 08:11:44 UTC; root
Author: Nassim Zbalah [cre], David Benatia [aut]
Maintainer: Nassim Zbalah <nas66.nz@gmail.com>
Config/pak/sysreqs: cmake libfreetype6-dev libglu1-mesa-dev make
        texlive libicu-dev libpng-dev libuv1-dev libgl1-mesa-dev
        libssl-dev libnode-dev zlib1g-dev
Repository: https://nassimzbalah.r-universe.dev
Date/Publication: 2023-04-07 19:50:02 UTC
RemoteUrl: https://github.com/cran/IOLS
RemoteRef: HEAD
RemoteSha: e6b5bab263bc155cfbc276865ad282d695c39286