CRAN/E | FuncNN

FuncNN

Functional Neural Networks

Installation

About

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) 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.

Citation FuncNN citation info
arxiv.org/abs/2006.09590
github.com/b-thi/FuncNN

Key Metrics

Version 1.0
Published 2020-09-15 1318 days ago
Needs compilation? no
License GPL-3
CRAN checks FuncNN results

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Maintainer

Maintainer

Barinder Thind

barinder.thi@gmail.com

Authors

Richard Groenewald

ctb

Barinder Thind

aut / cre / cph

Jiguo Cao

aut

Sidi Wu

ctb

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Imports

keras
tensorflow
fda.usc
fda
ggplot2
ggpubr
caret
pbapply
reshape2
flux
doParallel
foreach
Matrix

Suggests

knitr
rmarkdown