Orphaned and corrected on 2020-01-11.

Last update by original maintainer was in Mar 2016.

c(
person("Gregory R.", "Warnes", , role = "aut"),
person("Ben", "Bolker", , role = "aut"),
person("Lodewijk", "Bonebakker", , role = "aut"),
person("Robert", "Gentleman", role = "aut"),
person("Wolfgang", "Huber", role = "aut"),
person("Andy", "Liaw", role = "aut"),
person("Thomas", "Lumley", role = "aut"),
person("Martin", "Maechler", role = "aut"),
person("Arni", "Magnusson", role = "aut"),
person("Steffen", "Moeller", role = "aut"),
person("Marc", "Schwartz", role = "aut"),
person("Bill", "Venables", role = "aut"),
person("Tal", "Galili", , "tal.galili@gmail.com", c("ctb", "cre"))
)
Gregory R. Warnes [aut],
Ben Bolker [aut],
Lodewijk Bonebakker [aut],
Robert Gentleman [aut],
Wolfgang Huber [aut],
Andy Liaw [aut],
Thomas Lumley [aut],
Martin Maechler [aut],
Arni Magnusson [aut],
Steffen Moeller [aut],
Marc Schwartz [aut],
Bill Venables [aut],
Tal Galili [ctb, cre]

gtools, stats, caTools, KernSmooth, methods

Classification using generalized partial least squares
Classification using generalized partial least squares for two-group and multi-group (more than 2 group) classification.

Classification using generalized partial least squares for
two-group and multi-group (more than 2 group) classification.

Classification using generalized partial least squares
for two-group and multi-group (more than 2 group)
classification.

c(
person("Tianhai", "Zu", email = "zuti@mail.uc.edu", role = c("aut","trl","cre")),
person("Yan", "Yu",  role = "aut"))
We provides functions that employ penalized spline (P-spline) to estimate generalized
partially linear single index models (GPLSIM), which extend the generalized linear
models to include nonlinear effect for some predictors. Please see Y. (2017) at
<doi:10.1007/s11222-016-9639-0> and Y., and R. (2002) at <doi:10.1198/016214502388618861> for more details.
Tianhai Zu [aut, trl, cre],
Yan Yu [aut]

Analysing and plotting genotype-phenotype maps
Arne B. Gjuvsland <arne.gjuvsland@nmbu.no> and Yunpeng Wang <yunpeng.wng@gmail.com>
This package contains tools for studying genotype-phenotype (GP) maps for bi-allelic loci underlying quantitative phenotypes. The 0.1 version is released in connection with the publication of Gjuvsland et al. (2003) and implements basic line plots and the monotonicity measures for GP maps presented in the paper. Reference: Gjuvsland AB, Wang Y, Plahte E and Omholt SW (2013) Monotonicity is a key feature of genotype-phenotype maps. Front. Genet. 4:216. doi: 10.3389/fgene.2013.00216 [\href{http://www.frontiersin.org/Journal/10.3389/fgene.2013.00216/full}{link}]