JOP is a tool for simultaneous optimization of multiple
responses and visualization of the results. The visualization
is done by the joint optimization plot introduced by Kuhnt and
Erdbruegge (2004).

c(person(given = "Paul", family = "Eilers", role = c("aut", "cre"), email = "p.eilers@erasmusmc.nl"),
person(given = "Brian", family = "Marx", role = "aut", email = "p.eilers@erasmusmc.nl"),
person(given = "Bin", family = "Li", email = "bli@lsu.edu",  role = "aut"),
person(given = "Jutta", family = "Gampe", email = "gampe@demogr.mpg.de",  role = "aut"),
person(given = "Maria Xose", family = "Rodriguez-Alvarez", email = "mrodriguez@BCAMATH.ORG",  role = "aut"))
Functions and data to reproduce all plots in the book "Practical Smoothing.
The Joys of P-splines" by Paul H.C. Eilers and Brian D. Marx (2021, ISBN:978-1108482950).
colorspace, MASS, boot, fds, rpart, ggplot2, fields, spam,
SemiPar, stats, graphics, grDevices
Paul Eilers [aut, cre],
Brian Marx [aut],
Bin Li [aut],
Jutta Gampe [aut],
Maria Xose Rodriguez-Alvarez [aut]

c(person(given = "Paul", family = "Eilers", role = c("aut", "cre"), email = "p.eilers@erasmusmc.nl"),
person(given = "Brian", family = "Marx", role = "aut", email = "bmarx@lsu.edu"),
person(given = "Bin", family = "Li", email = "bli@lsu.edu",  role = "aut"),
person(given = "Jutta", family = "Gampe", email = "gampe@demogr.mpg.de",  role = "aut"),
person(given = "Maria Xose", family = "Rodriguez-Alvarez", email = "mrodriguez@BCAMATH.ORG",  role = "aut"))

Implements Under/Oversampling for Probability Estimation
person("Matthew", "Olson", , "maolson@wharton.upenn.edu", c("aut", "cre"))
Implements under/oversampling for probability estimation.  To be
used with machine learning methods such as adaBoost, random forests, etc.

Implements under/oversampling for probability estimation.  To be
used with machine learning methods such as AdaBoost, random forests, etc.

Covariance and Inverse Covariance Matrix Estimation Using Joint
Penalty
A Joint PENalty Estimation of Covariance and Inverse Covariance Matrices.