c(person("Sarah", "Brockhaus", role = "aut",
email = "Sarah.Brockhaus@stat.uni-muenchen.de"),
person("David", "Ruegamer", role = c("aut", "cre"),
email = "david.ruegamer@gmail.com"),
person("Almond", "Stoecker", role = "aut",
email = "almond.stoecker@hu-berlin.de"),
person("Torsten", "Hothorn", role = "ctb"),
person("with contributions by many others", "(see inst/CONTRIBUTIONS)", role = "ctb"))
Regression models for functional data, i.e., scalar-on-function,
function-on-scalar and function-on-function regression models, are fitted
by a component-wise gradient boosting algorithm.
For a manual on how to use 'FDboost', see Brockhaus, Ruegamer, Greven (2017) <doi:10.18637/jss.v094.i10>.
Sarah Brockhaus [aut],
David Ruegamer [aut, cre],
Almond Stoecker [aut],
Torsten Hothorn [ctb],
with contributions by many others (see inst/CONTRIBUTIONS) [ctb]

'aaa.R' 'FDboost-package.R' 'FDboost.R' 'baselearners.R'
'baselearnersX.R' 'bootstrapCIs.R' 'clr_functions.R'
'constrainedX.R' 'crossvalidation.R' 'factorize.R'
'FDboostLSS.R' 'hmatrix.R' 'methods.R' 'stabsel.R'
'utilityFunctions.R'

Finite element modeling of 2D geometries using constant strain triangles. Applies material properties and boundary conditions (load and constraint) to generate a finite element model. The model produces stress, strain, and nodal displacements; a heat map is available to demonstrate regions where output variables are high or low.  Also provides options for creating a triangular mesh of 2D geometries. Package developed with reference to: Bathe, K. J. (1996). Finite Element Procedures.[ISBN 978-0-9790049-5-7] -- Seshu, P. (2012). Textbook of Finite Element Analysis. [ISBN-978-81-203-2315-5] -- Mustapha, K. B. (2018). Finite Element Computations in Mechanics with R. [ISBN 9781315144474].

Fixed Effects Nonlinear Maximum Likelihood Models
Efficient estimation of fixed-effect maximum likelihood models with, possibly, non-linear right hand sides.

stats, numDeriv, MASS, Rcpp, graphics, utils, Matrix
Efficient estimation of multiple fixed-effects maximum likelihood models
with, possibly, non-linear in parameters right hand sides. Standard-errors
can easily be clustered. It also includes tools to seamlessly export (to Latex)
the results of various estimations.