R Interface to C API of COIN-OR Clp, depends on COIN-OR
Clp Version >= 1.12.0

generics.R clp_ptrClass.R clp.R clpAPI.R zzz.R

c(person("Mayo", "Roettger", role = "cre", email = "mayo.roettger@hhu.de"),
person("Gabriel", "Gelius-Dietrich", role = c("aut"), email = "geliudie@uni-duesseldorf.de"),
person(c("C.", "Jonathan"), "Fritzemeier", role = "ctb", email = "clausjonathan.fritzemeier@uni-duesseldorf.de"))
R Interface to C API of COIN-OR Clp, depends on COIN-OR Clp Version >= 1.12.0.
Mayo Roettger [cre],
Gabriel Gelius-Dietrich [aut],
C. Jonathan Fritzemeier [ctb]

c(person("Gabriel", "Gelius-Dietrich", role = c("aut",
"cre"), email = "geliudie@uni-duesseldorf.de"))

c(person("Gabriel", "Gelius-Dietrich", role = c("aut", "cre"), email = "geliudie@uni-duesseldorf.de"))
R Interface to C API of COIN-OR Clp, depends on COIN-OR Clp Version >= 1.12.0

c(person(c("C.", "Jonathan"), "Fritzemeier", role = c("cre", "ctb"), email = "clausjonathan.fritzemeier@uni-duesseldorf.de"),
person("Gabriel", "Gelius-Dietrich", role = c("aut"), email = "geliudie@uni-duesseldorf.de"))
C. Jonathan Fritzemeier [cre, ctb], Gabriel Gelius-Dietrich [aut]

Curve Linear Regression via Dimension Reduction
Amandine Pierrot
with contributions and/or help from Qiwei Yao, Haeran Cho, Yannig Goude and
Tony Aldon.
A new methodology for linear regression with both curve response
and curve regressors, which is described in Cho, Goude, Brossat and Yao
(2013) <doi:10.1080/01621459.2012.722900> and (2015)
<doi:10.1007/978-3-319-18732-7_3>. The key idea behind this methodology is
dimension reduction based on a singular value decomposition in a Hilbert
space, which reduces the curve regression problem to several scalar linear
regression problems.

Constrained Likelihood Ratio Tests for a Directed Acyclic Graph
Provides MLEdag() for constrained maximum likelihood estimation and likelihood ratio test of a large directed acyclic graph. The algorithms are described in the paper by Li, Shen, and Pan (2019) <doi:10.1080/01621459.2019.1623042>.