Other packages > Find by keyword >

FuncNN  

Functional Neural Networks
View on CRAN: Click here


Download and install FuncNN package within the R console
Install from CRAN:
install.packages("FuncNN")

Install from Github:
library("remotes")
install_github("cran/FuncNN")

Install by package version:
library("remotes")
install_version("FuncNN", "1.0")



Attach the package and use:
library("FuncNN")
Maintained by
Barinder Thind
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-15
Latest Update: 2020-09-15
Description:
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.
How to cite:
Barinder Thind (2020). FuncNN: Functional Neural Networks. R package version 1.0, https://cran.r-project.org/web/packages/FuncNN. Accessed 07 Oct. 2026.
Previous versions and publish date:
1.0 (2020-09-15 11:40), (2026-07-09 08:04)
Other packages that cited FuncNN R package
View FuncNN citation profile
Other R packages that FuncNN depends, imports, suggests or enhances
Complete documentation for FuncNN
Functions, R codes and Examples using the FuncNN R package
Some associated functions: FuncNN-package . daily . fnn.cv . fnn.fit . fnn.fnc . fnn.plot . fnn.predict . fnn.tune . tecator . 
Some associated R codes: PackageFuncNN.R . daily.R . fnn.cv.R . fnn.fit.R . fnn.fnc.R . fnn.plot.R . fnn.predict.R . fnn.tune.R . tecator.R .  Full FuncNN package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA