R Observatory: Metrics for eam version 1.2.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

eam

1.2.2Package record

Evidence Accumulation Models

0packages depend

3.6Kdownloads / year

12.8%test coverage

13/13flavors OK

Overview

About

Maintained by Guang YangCRAN page ↗GitHub ↗Website ↗

Simulation-based evidence accumulation models for analyzing responses and reaction times in single- and multi-response tasks. The package includes simulation engines for five representative models: the Diffusion Decision Model (DDM), Leaky Competing Accumulator (LCA), Linear Ballistic Accumulator (LBA), Racing Diffusion Model (RDM), and Levy Flight Model (LFM), and extends these frameworks to multi-response settings. The package supports user-defined functions for item-level parameterization and the incorporation of covariates, enabling flexible customization and the development of new model variants based on existing architectures. Inference is performed using simulation-based methods, including Approximate Bayesian Computation (ABC) and Amortized Bayesian Inference (ABI), which allow parameter estimation without requiring tractable likelihood functions. In addition to core inference tools, the package provides modules for parameter recovery, posterior predictive checks, and model comparison, facilitating the study of a wide range of cognitive processes in tasks involving perceptual decision making, memory retrieval, and value-based decision making. Key methods implemented in the package are described in Ratcliff (1978) doi:10.1037/0033-295X.85.2.59, Usher and McClelland (2001) doi:10.1037/0033-295X.108.3.550, Brown and Heathcote (2008) doi:10.1016/j.cogpsych.2007.12.002, Tillman, Van Zandt and Logan (2020) doi:10.3758/s13423-020-01719-6, Wieschen, Voss and Radev (2020) doi:10.20982/tqmp.16.2.p120, Csilléry, François and Blum (2012) doi:10.1111/j.2041-210X.2011.00179.x, Beaumont (2019) doi:10.1146/annurev-statistics-030718-105212, and Sainsbury-Dale, Zammit-Mangion and Huser (2024) doi:10.1080/00031305.2023.2249522.

Changes in 1.2.2

Maintenance

Resubmit to CRAN with updated build timestamp.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("eam", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("y-guang/eam")

Development version from y-guang/eam. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-eam

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-eam

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-eam

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 4.0 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.2.2

README· In the repository, left out of the releaseVignettes· In the repository, left out of the releaseNEWSYes · 100% structured · mentions 1.2.2Citation fileYes · cites a publicationWebsiteYes · pkgdown

Help pages: 69 (38 internal)
Examples that run: 68%19 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran) · 5 never run
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

3.6K

CRAN downloads in the past year

Rank #8,167 · ~10/day · ~302/mo

Releases R versions

Daily download trend is not available in this view yet.

36430 days

1.1K90 days

3.6K1 year

Compare downloads with other packages →

Also on284 r2u9 autocran

How downloads are counted

Repository

y-guang/eam ↗Account: y-guang

3Stars

1Forks

0Open issues

0Open PRs

0Releases

383Commits

2Commit identities

eamevidence-accumulation-modelddmrdmsimulation

383 commits · Last activity 2026-06-21 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 13
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2026-02-27 · 22026-07-07 · 3

How these are measured

PracticesBeta

8 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/y-guang/eam on 2026-10-18.

Continuous integration (1)

GitHub Actions

Docs source (3)

pkgdown

GitHub Pages site last deployed 2026-06-21 · The repository has a site deploy workflow

pkgdown site last built 2026-06-21

Reproducibility and dev environment (1)

data-raw/

Lint, format, editor (3)

lintrVS CodeRStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

19 external dependencies (excludes base and recommended)

Installing eam adds 47 packages (23 with compiled code, 48 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 4.1.0

Imports (22)

Rcpp dplyr tidyr arrow rlang distributionalstatsparallelcodetoolsgrDevicesgraphicsggplot2 gridExtra data.table purrr scales vctrs tibble JuliaConnectoR NeuralEstimators pbapply abc

LinkingTo (1)

Rcpp

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Guang Yang

Author, Maintainer since 1.0.1 (2026)

Guangyu Zhu

Author

Releases (4)

Pick two releases to compare their code metrics.

1.2.2Latest
record
2026-05-13 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
1.2.0
record
2026-03-29 · diff ↗ ·
added 9 exports
abc_abc, abc_cv, abc_posterior_predictive_check, abi_assess, abi_estimate, abi_posterior_predictive_check, abi_sample_posterior, abi_train, update_config_from_posterior
1.1.0
record
2026-02-09 · diff ↗ ·
added 1 export
build_abi_input
1.0.1
record
2026-01-17
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-01-17
Total releases: 4 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Download size: 861 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("eam")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.31234/osf.io/dg7c2_v1.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for eam version 1.2.2 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →