Package: FuncNN 1.0

FuncNN: Functional Neural Networks

A collection of functions which fit functional neural network models. In other words, this package will allow users to build deep learning models that have either functional or scalar responses paired with functional and scalar covariates. We implement the theoretical discussion found in Thind, Multani and Cao (2020) <arxiv:2006.09590> through the help of a main fitting and prediction function as well as a number of helper functions to assist with cross-validation, tuning, and the display of estimated functional weights.

Authors:Richard Groenewald [ctb], Barinder Thind [aut, cre, cph], Jiguo Cao [aut], Sidi Wu [ctb]

FuncNN_1.0.tar.gz
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FuncNN_1.0.tgz(r-4.4-any)FuncNN_1.0.tgz(r-4.3-any)
FuncNN_1.0.tar.gz(r-4.5-noble)FuncNN_1.0.tar.gz(r-4.4-noble)
FuncNN_1.0.tgz(r-4.4-emscripten)FuncNN_1.0.tgz(r-4.3-emscripten)
FuncNN.pdf |FuncNN.html
FuncNN/json (API)

# Install 'FuncNN' in R:
install.packages('FuncNN', repos = c('https://b-thi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/b-thi/funcnn/issues

Datasets:
  • daily - Classic Canadian weather data set.
  • tecator - Classic Tecator data set.

On CRAN:

3.18 score 3 stars 5 scripts 143 downloads 6 exports 147 dependencies

Last updated 4 years agofrom:dd44b58680. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-winNOTENov 06 2024
R-4.5-linuxNOTENov 06 2024
R-4.4-winNOTENov 06 2024
R-4.4-macNOTENov 06 2024
R-4.3-winNOTENov 06 2024
R-4.3-macNOTENov 06 2024

Exports:fnn.cvfnn.fitfnn.fncfnn.plotfnn.predictfnn.tune

Dependencies:abindashbackportsbase64encbitopsbootbroomcarcarDatacaretcaToolsclasscliclockclustercodetoolscolorspaceconfigcorrplotcowplotcpp11data.tableDerivdeSolvediagramdigestdoBydoParalleldplyre1071fansifarverfdafda.uscfdsfluxFNNforeachFormulafuturefuture.applygenericsggplot2ggpubrggrepelggsciggsignifglobalsgluegowergridExtragtablehardhathdrcdehereipredisobanditeratorsjsonlitekeraskernlabKernSmoothkskSampleslabelinglatticelavalifecyclelistenvlme4locfitlubridatemagrittrMASSMatrixMatrixModelsmclustmgcvmicrobenchmarkminqaModelMetricsmodelrmulticoolmunsellmvtnormnlmenloptrnnetnumDerivparallellypbapplypbkrtestpcaPPpillarpkgconfigplyrpngpolynompracmapROCprocessxprodlimprogressrproxypspurrrquantregR6rainbowrappdirsRColorBrewerRcppRcppEigenRcppTOMLRCurlrecipesreshape2reticulaterlangrpartrprojrootrstatixrstudioapiscalesshapeSparseMSQUAREMstringistringrSuppDistssurvivaltensorflowtfautographtfrunstibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewhiskerwithryamlzeallot