methods, foreach, knitr, scales, qdapRegex, microbenchmark,
doFuture, future, progressr, plyr

c(
person("Jose", "Betancourt", email = "djbetancourt@uninorte.edu.co", role = c("cre", "aut")),
person("François", "Bachoc", email = "francois.bachoc@math.univ-toulouse.fr", role = "aut"),
person("Thierry", "Klein", email = "thierry.klein@math.univ-toulouse.fr", role = "aut"),
person("Jeremy", "Rohmer", email = "J.Rohmer@brgm.fr", role = "aut"),
person("Yves", "Deville", email = "deville.yves@alpestat.com", role = "ctb"),
person("Deborah", "Idier", email = "D.Idier@brgm.fr", role = "ctb"))
Construction and smart selection of Gaussian process models
for analysis of computer experiments
with emphasis on treatment of functional inputs that are regularly sampled. This package
offers: (i) flexible modeling of functional-input regression
problems through the fairly general Gaussian process model; (ii)
built-in dimension reduction for functional inputs; (iii)
heuristic optimization of the structural parameters of the model
(e.g., active inputs, kernel function, type of distance).
Metamodeling background is provided in
Betancourt et al. (2020) <doi:10.1016/j.ress.2020.106870>.
The algorithm for structural parameter optimization is described
in <https://hal.archives-ouvertes.fr/hal-02532713>.
methods, foreach, knitr, scales, microbenchmark, doFuture,
doRNG, future, progressr
'0_funGp_Doc.R' '0_show_Doc.R' '0_summary_Doc.R'
'8_outilsCode.R' '3_ant_admin.R' '2_fgpKern_Class.R'
'2_fgpProj_Class.R' '1_fgpm_Class.R' '1_Xfgpm_Class.R'
'3_ant_search.R' '3_training_F.R' '3_training_S.R'
'3_training_SF.R' '4_prediction_F.R' '4_prediction_S.R'
'4_prediction_SF.R' '5_simulation_F.R' '5_simulation_S.R'
'5_simulation_SF.R' '6_updating.R' '7_blackBoxFunctions.R'
'7_checkingFunctions.R' '7_correlFunctions.R'
'7_dimRedFunctions.R' '7_distanceFunctions.R'
'7_plottingFunctions.R' '7_plottingFunctionsStandard.R'
'8_outilsStats.R' '8_precalculated_Xfgpm_objects.R'
Jose Betancourt [cre, aut],
François Bachoc [aut],
Thierry Klein [aut],
Jeremy Rohmer [aut],
Yves Deville [ctb],
Deborah Idier [ctb]