person("Toni", "Bollinger", role = c("aut", "cre"), email = "db2-analytics@de.ibm.com"),
person("Alexander", "Eckert", role = c("aut")),

Title: Generate Personality Insights Sunburst Diagrams
comment = "IBM is author of the original JS code."),
Description: Generates Personality Insights sunburst diagrams
based on 'IBM Watson' Personality Insights service output.
Author: Steph Locke [aut, cre] (<https://orcid.org/0000-0002-2387-3723>),
IBM [cph] (IBM is author of the original JS code.),

person("Rhian", "Davies", , "rhian@jumpingrivers.com", role = c("aut", "cre")),
person("Steph", "Locke", , "steph@itsalocke.com", role = "aut",
person("Hendrik", "Feddersen", role = "fnd",
person("Kent", "Russell", , "kent.russell@timelyportfolio.com", role = "aut"),
person("Maëlle", "Salmon", , "maelle.salmon@yahoo.se", role = "ctb",
Description: Generates Personality Insights sunburst diagrams based on
'IBM Watson' Personality Insights service output.

Author: Pierre-Andre Cornillon, Nicolas Hengartner, Eric Matzner-Lober
Description: an R package for multivariate smoothing

Description: Multivariate smoothing using iterative bias reduction with kernel, thin plate splines, Duchon splines or low rank splines.

Description: Calculate B-spline basis functions with a given set of  knots and order, or a B-spline function with a given set of knots and order and set of de Boor points (coefficients), or the integral of a B-spline function.

Description: Calculate B-spline basis functions with a given set of knots and order, or a B-spline function with a given set of knots and order and set of de Boor points (coefficients), or the integral of a B-spline function.

Title: Inequality constrained inference in linear normal situations
Depends: R(>= 2.6.1), quadprog, mvtnorm, boot
Description: This package provides an interface to optimization methods for estimation under linear equality and inequality constraints and implements normal likelihood ratio tests involving inequality-constrained hypotheses.
Packaged: Sun Jul 13 12:55:42 2008; Gr�mping