Other packages > Find by keyword >

edl  

Toolbox for Error-Driven Learning Simulations with Two-Layer Networks
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("edl", "1.1")



Attach the package and use:
library("edl")
Maintained by
Jacolien van Rij
[Scholar Profile | Author Map]
First Published: 2021-04-12
Latest Update: 2021-09-20
Description:
Error-driven learning (based on the Widrow & Hoff (1960) learning rule, and essentially the same as Rescorla-Wagner's learning equations (Rescorla & Wagner, 1972, ISBN: 0390718017), which are also at the core of Naive Discrimination Learning, (Baayen et al, 2011, ) can be used to explain bottom-up human learning (Hoppe et al, ), but is also at the core of artificial neural networks applications in the form of the Delta rule. This package provides a set of functions for building small-scale simulations to investigate the dynamics of error-driven learning and it's interaction with the structure of the input. For modeling error-driven learning using the Rescorla-Wagner equations the package 'ndl' (Baayen et al, 2011, ) is available on CRAN at . However, the package currently only allows tracing of a cue-outcome combination, rather than returning the learned networks. To fill this gap, we implemented a new package with a few functions that facilitate inspection of the networks for small error driven learning simulations. Note that our functions are not optimized for training large data sets (no parallel processing), as they are intended for small scale simulations and course examples. (Consider the python implementation 'pyndl' for that purpose.)
How to cite:
Jacolien van Rij (2021). edl: Toolbox for Error-Driven Learning Simulations with Two-Layer Networks. R package version 1.1, https://cran.r-project.org/web/packages/edl. Accessed 04 Apr. 2025.
Previous versions and publish date:
1.0 (2021-04-12 09:50)
Other packages that cited edl R package
View edl citation profile
Other R packages that edl depends, imports, suggests or enhances
Complete documentation for edl
Downloads during the last 30 days
03/0503/0603/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/03Downloads for edl02468101214TrendBars

Today's Hot Picks in Authors and Packages

perryExamples  
Examples for Integrating Prediction Error Estimation into Regression Models
Examples for integrating package 'perry' for prediction error estimation into regression models. ...
Download / Learn more Package Citations See dependency  
metaprotr  
Metaproteomics Post-Processing Analysis
Set of tools for descriptive analysis of metaproteomics data generated from high-throughput mass ...
Download / Learn more Package Citations See dependency  
PakPMICS2014HH  
Multiple Indicator Cluster Survey (MICS) 2014 Household Questionnaire Data for Punjab, Pakistan
Provides data set and function for exploration of Multiple Indicator Cluster Survey (MICS) 2014 Hous ...
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  
Rexperigen  
R Interface to Experigen
Provides convenience functions to communicate with an Experigen server: Experigen ( ...
Download / Learn more Package Citations See dependency  
RMixpanel  
API for Mixpanel
Provides an interface to many endpoints of Mixpanel's Data Export, Engage and JQL API. The R functio ...
Download / Learn more Package Citations See dependency  

23,990

R Packages

207,311

Dependencies

64,809

Author Associations

23,991

Publication Badges

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