c(person(given = "Felipe", family = "Osorio",
role = c("aut", "cre"),
email = "felipe.osorios@usm.cl",
comment = c(ORCID = "0000-0002-4675-5201")),
person(given = "Tymoteusz", family = "Wolodzko",
role = "aut"))
Felipe Osorio [aut, cre] (<https://orcid.org/0000-0002-4675-5201>),
Tymoteusz Wolodzko [aut]

Felipe Osorio [aut, cre] and Tymoteusz Wolodzko [aut]

L1 estimation for linear regression using Barrodale and Roberts' method
<doi:10.1145/355616.361024> and the EM algorithm <doi:10.1023/A:1020759012226>,
density, distribution function, quantile function and random number generation
for univariate and multivariate Laplace distribution.

c(person("Dimitrios", "Bagkavos", role = c("aut", "cre"), email = "dimitrios.bagkavos@gmail.com") )
Provides functions for the implementation of a density goodness-of-fit test, based on piecewise approximation of the L2 distance.

Robust Structured Regression via the L2 Criterion
An implementation of a computational framework for performing robust structured regression with the L2 criterion from Chi and Chi (2021+).
c(
person("Jocelyn", "Chi", email="jocetchi@gmail.com", role=c("aut", "cre")),
person("Eric", "Chi", email="ecchi1105@gmail.com", role=c("aut"))
)

An implementation of a computational framework for performing robust structured regression with the L2 criterion
from Chi and Chi (2021+). Improvements using the majorization-minimization (MM) principle from Liu, Chi, and
Lange (2022+) added in Version 2.0.
c(
person("Xiaoqian", "Liu", email="xiaoqian.liu1025@gmail.com", role=c("aut", "ctb")),
person("Jocelyn", "Chi", email="jocetchi@gmail.com", role=c("aut", "cre")),
person("Lisa", "Lin", email="llin.texas@hotmail.com", role=c("ctb")),
person("Kenneth", "Lange", email="klange@ucla.edu", role=c("aut")),
person("Eric", "Chi", email="ecchi1105@gmail.com", role=c("aut"))
)
isotone, cobs, ncvreg, Matrix, signal, robustbase
Xiaoqian Liu [aut, ctb],
Jocelyn Chi [aut, cre],
Lisa Lin [ctb],
Kenneth Lange [aut],
Eric Chi [aut]

c(
person("Hongzhi", "Wang", email="hw34508@uga.edu", role=c("aut","cre")),
person("Qian", "Xiao", role="aut"),
person("Abhyuday", "Mandal", role="aut"))
Contains Lioness Algorithm (LA) for finding optimal designs over continuous design space, optimal latin Hypercube Designs, and optimal order-of-addition designs. LA is a brand new nature-inspired meta-heuristic optimization algorithm. Detailed methodologies of LA and its implementation on numerical simulations can be found at Hongzhi Wang, Qian Xiao and Abhyuday Mandal (2021) <arXiv:2010.09154>.
testthat (>= 3.0.0), knitr, rmarkdown, devtools
Hongzhi Wang [aut, cre],
Qian Xiao [aut],
Abhyuday Mandal [aut]