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TreeBUGS

R package for fitting hierarchical multinomial processing tree (MPT) models

https://github.com/danheck/treebugs

Science Score: 36.0%

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    DOI references
    Found 16 DOI reference(s) in README
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    4 of 6 committers (66.7%) from academic institutions
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    Low similarity (16.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

R package for fitting hierarchical multinomial processing tree (MPT) models

Basic Info
  • Host: GitHub
  • Owner: danheck
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 57.6 MB
Statistics
  • Stars: 13
  • Watchers: 6
  • Forks: 5
  • Open Issues: 3
  • Releases: 5
Created over 10 years ago · Last pushed 12 months ago
Metadata Files
Readme Changelog

README.md

CRAN_Status_Badge Workflow CRAN/METACRAN monthly downloads total downloads

TreeBUGS

TreeBUGS is an R package that facilitates using hierarchical multinomial processing tree (MPT) models that are often used in cognitive psychology (Erdfelder et al., 2009). Specifically, TreeBUGS implements the Bayesian estimation via MCMC sampling for the Beta-MPT (Smith & Batchelder, 2010), the latent-trait MPT model (Klauer, 2010), and standard (fixed-effects) MPT models.

General Approach of Using TreeBUGS

In the most simple user scenario, the following steps are required:

  1. Define path to existing MPT model file in .eqn format (cf. multiTree; Moshagen, 2010)
  2. Define path to data set with individual frequencies (.csv file: comma separated, rows=persons, columns=labeled categories)
  3. Call betaMPT or traitMPT (exact code in manual/vignette)
  4. Check convergence of MCMC chains
  5. Summarize and plot results using functions tailored to MPT models

These steps are explained in more detail in the package vignette, which can be opened in R by typing vignette("TreeBUGS").

Tutorial on MPT Modeling

A tutorial paper on multinomial processing tree models (including hierarchical model fitting with TreeBUGS) can be found here:

  • Schmidt, O., Erdfelder, E., & Heck, D. W. (2023). How to develop, test, and extend multinomial processing tree models: A tutorial. Psychological Methods. https://doi.org/10.1037/met0000561 (Preprint: https://psyarxiv.com/gh8md/)

Installing TreeBUGS

TreeBUGS requires the software JAGS. To install the latest release of TreeBUGS from CRAN, type the following into the R console: r install.packages("TreeBUGS")

To install the latest developer version of TreeBUGS from GitHub, run: ```r

Dependencies:

install.packages(c("devtools", "coda", "runjags", "hypergeo", "testthat", "rjags", "Rcpp", "RcppArmadillo", "logspline")) devtools::installgithub("danheck/TreeBUGS", buildvignettes = TRUE) ```

To compile C++ code, Windows and Mac require Rtools and Xcode Command Line Tools, respectively. Moreover, on Mac, it might be necessary to install the library gfortran manually, as required to compile the package RcppArmadillo. <!-- curl -O http://r.research.att.com/libs/gfortran-4.8.2-darwin13.tar.bz2 sudo tar fvxz gfortran-4.8.2-darwin13.tar.bz2 -C / -->

Citation

If you use TreeBUGS, please cite the software as follows:

  • Heck, D. W., Arnold, N. R., & Arnold, D. (2018). TreeBUGS: An R package for hierarchical multinomial-processing-tree modeling. Behavior Research Methods, 50, 264-284. https://doi.org/10.3758/s13428-017-0869-7

References

  • Batchelder, W. H., & Riefer, D. M. (1999). Theoretical and empirical review of multinomial process tree modeling. Psychonomic Bulletin & Review, 6, 57–86. https://doi.org/10.3758/BF03210812

  • Erdfelder, E., Auer, T.-S., Hilbig, B. E., Assfalg, A., Moshagen, M., & Nadarevic, L. (2009). Multinomial processing tree models: A review of the literature. Journal of Psychology, 217, 108–124. https://doi.org/10.1027/0044-3409.217.3.108

  • Klauer, K. C. (2010). Hierarchical multinomial processing tree models: A latent-trait approach. Psychometrika, 75, 70–98. https://doi.org/10.1007/s11336-009-9141-0

  • Matzke, D., Dolan, C. V., Batchelder, W. H., & Wagenmakers, E.-J. (2015). Bayesian estimation of multinomial processing tree models with heterogeneity in participants and items. Psychometrika, 80, 205–235. https://doi.org/10.1007/s11336-013-9374-9

  • Moshagen, M. (2010). multiTree: A computer program for the analysis of multinomial processing tree models. Behavior Research Methods, 42, 42–54. https://doi.org/10.3758/BRM.42.1.42

  • Smith, J. B., & Batchelder, W. H. (2010). Beta-MPT: Multinomial processing tree models for addressing individual differences. Journal of Mathematical Psychology, 54, 167–183. https://doi.org/10.1016/j.jmp.2009.06.007

Owner

  • Name: Daniel Heck
  • Login: danheck
  • Kind: user
  • Location: Germany
  • Company: Philipps-Universität Marburg

GitHub Events

Total
  • Watch event: 1
  • Push event: 2
Last Year
  • Watch event: 1
  • Push event: 2

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 299
  • Total Committers: 6
  • Avg Commits per committer: 49.833
  • Development Distribution Score (DDS): 0.057
Past Year
  • Commits: 15
  • Committers: 3
  • Avg Commits per committer: 5.0
  • Development Distribution Score (DDS): 0.2
Top Committers
Name Email Commits
Daniel Heck d****k@w****e 282
mariusbarth m****h@u****e 12
denis-arnold d****d@u****e 2
Frederik Aust f****t@u****e 1
Paul Soelder p****r@m****g 1
unknown d****k@g****e 1
Committer Domains (Top 20 + Academic)
uni-koeln.de: 2 gessdoc295327.ad.uni-mannheim.de: 1 mailbox.org: 1 uni-tuebingen.de: 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 7
  • Total pull requests: 8
  • Average time to close issues: 4 days
  • Average time to close pull requests: 1 day
  • Total issue authors: 6
  • Total pull request authors: 3
  • Average comments per issue: 2.14
  • Average comments per pull request: 1.0
  • Merged pull requests: 7
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • saurabhr (2)
  • mariusbarth (1)
  • psyxusheng (1)
  • singmann (1)
  • soelderer (1)
  • JacobElder (1)
Pull Request Authors
  • mariusbarth (6)
  • crsh (1)
  • soelderer (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 401 last-month
  • Total docker downloads: 21,154
  • Total dependent packages: 1
  • Total dependent repositories: 1
  • Total versions: 17
  • Total maintainers: 1
cran.r-project.org: TreeBUGS

Hierarchical Multinomial Processing Tree Modeling

  • Versions: 17
  • Dependent Packages: 1
  • Dependent Repositories: 1
  • Downloads: 401 Last month
  • Docker Downloads: 21,154
Rankings
Forks count: 10.8%
Docker downloads count: 12.6%
Stargazers count: 15.1%
Average: 17.3%
Dependent packages count: 18.1%
Downloads: 23.6%
Dependent repos count: 23.9%
Maintainers (1)
daniel.heck@uni-marburg.de
Last synced: 11 months ago

Dependencies

DESCRIPTION cran
  • R >= 4.0.0 depends
  • MASS * imports
  • Rcpp >= 0.12.6 imports
  • coda * imports
  • grDevices * imports
  • graphics * imports
  • hypergeo * imports
  • logspline * imports
  • parallel * imports
  • rjags * imports
  • runjags * imports
  • stats * imports
  • utils * imports
  • R.rsp * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests
.github/workflows/check-standard.yaml actions
  • actions/checkout v3 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite