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Buddle
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", "2.0.1")
Attach the package and use:
library("Buddle")
Maintained by
Jiwoong Kim
[Scholar Profile | Author Map]
[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 2.0.1, https://cran.r-project.org/web/packages/Buddle
Other packages that cited Buddle R package
View Buddle citation profile
Other R packages that Buddle depends,
imports, suggests or enhances
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
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