c(
person("Jeff", "Goldsmith", role = "aut", email = "jeff.goldsmith@columbia.edu"),
person("Fabian", "Scheipl", role = "aut", email = "fabian.scheipl@stat.uni-muenchen.de"),
person("Lei", "Huang", role = "aut", email = "huangracer@gmail.com"),
person("Julia", "Wrobel", role=c("aut", "cre"), email="jw3134@cumc.columbia.edu"),
person("Jonathan", "Gellar", role="aut",email="jgellar1@jhu.edu"),
person("Jaroslaw", "Harezlak", role="aut"),
person(c("Mathew", "W."), "McLean", role="aut", email = "mathew.w.mclean@gmail.com"),
person("Bruce", "Swihart", role ="aut", email = "bswihart@jhsph.edu"),
person("Luo", "Xiao", role="aut", email = "lxiao@jhsph.edu"),
person("Ciprian", "Crainiceanu", role = "aut", email = "ccrainic@jhsph.edu"),
person(c("Philip", "T."), "Reiss", role = "aut", email = "phil.reiss@nyumc.org"),
person("Yakuan", "Chen", role="ctb", email = "yc2641@@cumc.columbia.edu"),
person("Sonja", "Greven", role = "ctb"),
person("Lan", "Huo", role = "ctb", email = "lan.huo@nyumc.org"),
person(c("Madan", "Gopal"), "Kundu", role="ctb"),
person("So Young", "Park", role="ctb", email="spark13@ncsu.edu"),
person(c("David", "L."), "Miller", role="ctb", email="dave@ninepointeightone.net"),
person("Ana-Maria", "Staicu", role="ctb", email="ana-maria_staicu@ncsu.edu"))
Jeff Goldsmith [aut],
Fabian Scheipl [aut],
Lei Huang [aut],
Julia Wrobel [aut, cre],
Jonathan Gellar [aut],
Jaroslaw Harezlak [aut],
Mathew W. McLean [aut],
Bruce Swihart [aut],
Luo Xiao [aut],
Ciprian Crainiceanu [aut],
Philip T. Reiss [aut],
Yakuan Chen [ctb],
Sonja Greven [ctb],
Lan Huo [ctb],
Madan Gopal Kundu [ctb],
So Young Park [ctb],
David L. Miller [ctb],
Ana-Maria Staicu [ctb]

Philip Reiss <phil.reiss@nyumc.org>, Lei Huang
<huangracer@gmail.com>, and Jeff Goldsmith <jgoldsmi@jhsph.edu>
Functions for regression with functional data.  The
principal methods currently implemented are (I) regression of
scalar responses on functional predictors, by (longitudinal)
penalized functional regression and functional principal
component regression; and (II) regression of functional
responses on scalar predictors, by penalized OLS or GLS.