Other packages > Find by keyword >

EMC2  

Bayesian Hierarchical Analysis of Cognitive Models of Choice
View on CRAN: Click here


Download and install EMC2 package within the R console
Install from CRAN:
install.packages("EMC2")

Install from Github:
library("remotes")
install_github("cran/EMC2")

Install by package version:
library("remotes")
install_version("EMC2", "3.4.1")



Attach the package and use:
library("EMC2")
Maintained by
Niek Stevenson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-10
Latest Update: 2025-06-27
Description:
Fit Bayesian (hierarchical) cognitive models using a linear modeling language interface using particle metropolis Markov chain Monte Carlo sampling with Gibbs steps. The diffusion decision model (DDM), linear ballistic accumulator model (LBA), racing diffusion model (RDM), and the lognormal race model (LNR) are supported. Additionally, users can specify their own likelihood function and/or choose for non-hierarchical estimation, as well as for a diagonal, blocked or full multivariate normal group-level distribution to test individual differences. Prior specification is facilitated through methods that visualize the (implied) prior. A wide range of plotting functions assist in assessing model convergence and posterior inference. Models can be easily evaluated using functions that plot posterior predictions or using relative model comparison metrics such as information criteria or Bayes factors. References: Stevenson et al. (2024) <doi:10.31234/osf.io/2e4dq>.
How to cite:
Niek Stevenson (2024). EMC2: Bayesian Hierarchical Analysis of Cognitive Models of Choice. R package version 3.4.1, https://cran.r-project.org/web/packages/EMC2. Accessed 05 Mar. 2026.
Previous versions and publish date:
2.0.2 (2024-09-10 11:30), 2.1.0 (2024-10-14 22:10), 3.0.0 (2025-03-07 02:10), 3.1.0 (2025-03-10 09:50), 3.1.1 (2025-04-07 04:30), 3.2.0 (2025-06-27 14:10), 3.2.1 (2025-09-22 15:10), 3.3.0 (2025-12-02 08:00)
Other packages that cited EMC2 R package
View EMC2 citation profile
Other R packages that EMC2 depends, imports, suggests or enhances
Complete documentation for EMC2
Functions, R codes and Examples using the EMC2 R package
Full EMC2 package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

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