Other packages > Find by keyword >

Buddle  

A Deep Learning for Statistical Classification and Regression Analysis with Random Effects
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("Buddle", "2.0.2")



Attach the package and use:
library("Buddle")
Maintained by
Jiwoong Kim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-21
Latest Update: 2020-02-13
Description:
Statistical classification and regression have been popular among various fields and stayed in the limelight of scientists of those fields. Examples of the fields include clinical trials where the statistical classification of patients is indispensable to predict the clinical courses of diseases. Considering the negative impact of diseases on performing daily tasks, correctly classifying patients based on the clinical information is vital in that we need to identify patients of the high-risk group to develop a severe state and arrange medical treatment for them at an opportune moment. Deep learning - a part of artificial intelligence - has gained much attention, and research on it burgeons during past decades: see, e.g, Kazemi and Mirroshandel (2018) . It is a veritable technique which was originally designed for the classification, and hence, the Buddle package can provide sublime solutions to various challenging classification and regression problems encountered in the clinical trials. The Buddle package is based on the back-propagation algorithm - together with various powerful techniques such as batch normalization and dropout - which performs a multi-layer feed-forward neural network: see Krizhevsky et. al (2017) , Schmidhuber (2015) and LeCun et al. (1998) for more details. This package contains two main functions: TrainBuddle() and FetchBuddle(). TrainBuddle() builds a feed-forward neural network model and trains the model. FetchBuddle() recalls the trained model which is the output of TrainBuddle(), classifies or regresses given data, and make a final prediction for the data.
How to cite:
Jiwoong Kim (2018). Buddle: A Deep Learning for Statistical Classification and Regression Analysis with Random Effects. R package version 2.0.2, https://cran.r-project.org/web/packages/Buddle. Accessed 02 Sep. 2026.
Previous versions and publish date:
1.0 (2018-12-21 16:50), 2.0.1 (2020-02-13 10:30), 2.0 (2020-02-06 13:40), (2026-07-09 07:59)
Other packages that cited Buddle R package
View Buddle citation profile
Other R packages that Buddle depends, imports, suggests or enhances
Complete documentation for Buddle
Functions, R codes and Examples using the Buddle R package
Some associated functions: CheckNonNumeric . FetchBuddle . GetPrecision . MakeConfusionMatrix . OneHot2Label . Split2TrainTest . TrainBuddle . mnist_data . 
Some associated R codes: BuddleMain.R . Img_data.R . RcppExports.R .  Full Buddle package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

VIM  
Visualization and Imputation of Missing Values
New tools for the visualization of missing and/or imputed values are introduced, which can be used f ...
Download / Learn more Package Citations See dependency  
recmap  
Compute the Rectangular Statistical Cartogram
Implements the RecMap MP2 construction heuristic . This algorithm draw ...
Download / Learn more Package Citations See dependency  
ggsci  
Scientific Journal and Sci-Fi Themed Color Palettes for 'ggplot2'
A collection of 'ggplot2' color palettes inspired by plots in scientific journals, data visualizati ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
multicmp  
Flexible Modeling of Multivariate Count Data via the Multivariate Conway-Maxwell-Poisson Distribution
A toolkit containing statistical analysis models motivated by multivariate forms of the Conway-Maxwe ...
Download / Learn more Package Citations See dependency  

28,437

R Packages

239,283

Dependencies

75,283

Author Associations

28,438

Publication Badges

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