Authors@R: c(person(given = "Stanislav", family = "Zamecnik", email = c("zamecnik@math.muni.cz"), role = c("aut", "cre")),
Description: Package for estimating the parameters of a nonlinear function using iterated linearization via Taylor series.  Method is based on  Kubáček (2000) ISBN: 80-244-0093-6. The algorithm is a generalization of the procedure given in Köning, R., Wimmer, G.

person("Tomonari", "Sei", email = "sei@mist.i.u-tokyo.ac.jp", role = "aut"),
person("Masaki", "Hamada", email = "masaki_hamada@mist.i.u-tokyo.ac.jp", role = "cre"))
Description: Consider a data matrix of n individuals with p variates. The objective general index (OGI)
is a general index that combines the p variates into a univariate index in order to rank the n
individuals. The OGI is always positively correlated with each of the variates.
More details can be found in Sei (2016) <doi:10.1016/j.jmva.2016.02.005>.

Title: Ordered Homogeneity Pursuit Lasso for Group Variable Selection
person("You-Wu", "Lin", email = "lyw015813@126.com", role = c("aut")),
person("Nan", "Xiao", email = "me@nanx.me", role = "cre"))
Description: Ordered homogeneity pursuit lasso (OHPL)
algorithm for group variable selection proposed in Lin et al. (2017)
<DOI:10.1016/j.chemolab.2017.07.004>. The OHPL method takes the
homogeneity structure in high-dimensional data into account and
enjoys the grouping effect to select groups of important variables
automatically. This feature makes it particularly useful for
high-dimensional datasets with strongly correlated variables,

<DOI:10.1016/j.chemolab.2017.07.004>. The OHPL method exploits the
homogeneity structure in high-dimensional data and enjoys the
grouping effect to select groups of important variables

person("Nan", "Xiao", email = "me@nanx.me", role = "cre",

Title: Data sets and supplements (OpenIntro)
Maintainer: Andrew P Bray <andrew@openintro.org>
Description: A collection of data sets from several sources that may be
useful for teaching, practice, or other purposes. Functions
have also been included to assist in the retrieval of table
data from websites or in visualizing sample data.
Packaged: 2012-05-30 01:26:02 UTC; andrewbray