Gareth Ambler <gareth@stats.ucl.ac.uk>, Axel Benner <benner@dkfz.de>

original by Gareth Ambler <gareth@stats.ucl.ac.uk>, modified by Axel Benner <benner@dkfz.de>

original by Gareth Ambler <gareth@stats.ucl.ac.uk>, modified by
Axel Benner <benner@dkfz.de>
Fractional polynomials are used to represent curvature in
regression models. A key reference is Royston and Altman, 1994.

Orphaned on 2021-12-02 at the request of one of the
authors.

The maintainer being unresponsive.

c(person("Georg", "Heinze", role=c("cre"), email="georg.heinze@meduniwien.ac.at"),
person("Gareth", "Ambler", role=c("aut"), email="gareth@stats.ucl.ac.uk"),
person("Axel","Benner", role=c("aut"), email="benner@dkfz.de"))
Georg Heinze [cre],
Gareth Ambler [aut],
Axel Benner [aut]

c(
person("Zsolt T.","Kosztyan",email="kzst@gtk.uni-pannon.hu", role = c("aut", "cre")),
person("Aamir", "Sagir", role = "aut"))
Matrix-Based Flexible Project Planning. This package models, plans, and schedules flexible, such as agile, extreme, and hybrid project plans. The package contains project planning, scheduling, and risk assessment functions. Kosztyan (2022) <doi:10.1016/j.softx.2022.100973>.
pracma, nsga2R, igraph, genalg, ggplot2, reshape2, Rfast
Zsolt T. Kosztyan [aut, cre],
Aamir Sagir [aut]

Minimal Free Resolutions of Graph Edge Ideals
Algebraic Geometry: Minimal Free Resolutions of the Edge
Ideal of a Graph

Distribution A: Approved for Public Release. Singular and/or
Macaulay 2 algebraic geometry packages are suggested.

Singular (http://www.singular.uni-kl.de) for exact
calculation of the MFR for graphs without splitting edges (only
for Unix systems).

Estimates probit, logit, Poisson, and negative binomial regression models, returning their marginal effects as an output.

Marginal Effects, Odds Ratios and Incidence Rate Ratios for GLMs
Estimates probit, logit, Poisson, negative binomial, and beta regression models, returning their marginal effects, odds ratios, or incidence rate ratios as an output.

c( person( "Alan", "Fernihough", role = c("aut", "cre"),
email = "alan.fernihough@gmail.com" ),
person( "Arne", "Henningsen", role = "ctb",
email = "arne.henningsen@gmail.com" ) )
Estimates probit, logit, Poisson, negative binomial,
and beta regression models, returning their marginal effects, odds ratios,
or incidence rate ratios as an output.
Greene (2008, pp. 780-7) provides a textbook introduction to this topic.
Alan Fernihough [aut, cre],
Arne Henningsen [ctb]