person("Neal", "Richardson", email = "neal.p.richardson@gmail.com", role = c("aut", "cre"))
Description: In order to provide unified access to Linux distribution details
in R, this package wraps the various files and commands that may exist
on a system. It is similar in spirit to the 'lsb_release' command and the

Depends: R (>= 2.15), Matrix, gamlr, parallel, methods
Description: Gamma-lasso path estimation for a multinomial logistic regression factorized into independent  Poisson log regressions.
References: Taddy (2013) Distributed Multinomial Regression.

Description: Gamma-lasso path estimation for a multinomial logistic regression factorized into independent  Poisson log regressions.  See the textir package for applications in multinomial inverse regression analysis of text.

Description: Estimation for a multinomial logistic regression factorized into independent  Poisson log regressions.  See the textir package for applications in multinomial inverse regression analysis of text.
References: Taddy (2013), Distributed Multinomial Regression.

Depends: R (>= 2.15), Matrix, gamlr, parallel, methods, stats

person("Matt", "Taddy", email = "mataddy@gmail.com", role = "aut"),
person("Nelson", "Rayl", email = "nelsonrayl14@gmail.com", role = "cre")
Description: Fast distributed/parallel estimation for multinomial logistic regression via Poisson factorization and the 'gamlr' package.  For details see: Taddy (2015, AoAS), Distributed Multinomial Regression, <arXiv:1311.6139>.
Packaged: 2022-03-28 20:55:19 UTC; nelsonrayl

Title: Estimate and Manage Empirical Distributions
Description: Tools to estimate and manage empirical distributions,
which should work with survey data. One of the main features is the
possibility to create data cubes of estimated statistics, that include
all the combinations of the variables of interest (see for example functions
Author: Sandro Petrillo Burri <gibo.gaf@gmail.com>
Maintainer: Sandro Petrillo Burri <gibo.gaf@gmail.com>
Collate: "distrr.R" "invented_data.R" "gibutils.R" "jointfuns.R"