The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
rstanarm: Bayesian Applied Regression Modeling via Stan
Open accessAbstract
Estimates previously compiled regression models using the 'rstan' package, which provides the R interface to the Stan C++ library for Bayesian estimation. Users specify models via the customary R syntax with a formula and data.frame plus some additional arguments for priors.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
R-squared for Bayesian Regression Models
Gelman, A., Goodrich, B., Gabry, J., & Vehtari, A. (2019) · The American Statistician · doi:10.1080/00031305.2018.1549100 · Cited by 912
Self-citationUsing Stacking to Average Bayesian Predictive Distributions (with Discussion)
Yao, Y., Vehtari, A., Simpson, D., & Gelman, A. (2018) · Bayesian Analysis · doi:10.1214/17-ba1091 · Cited by 493
Cited by
brms : An R Package for Bayesian Multilevel Models Using Stan
Bürkner, P.-C. (2017) · Journal of Statistical Software · doi:10.18637/jss.v080.i01 · Cited by 9,476
(2015) · doi:10.1007/s11222-016-9696-4 · Cited by 5,611
Self-citationMakowski, D., Ben-Shachar, M., & Lüdecke, D. (2019) · Journal of Open Source Software · doi:10.21105/joss.01541 · Cited by 1,483
Cross validation for model selection: A review with examples from ecology
Yates, L. A., Aandahl, Z., Richards, S. A., & Brook, B. W. (2023) · Ecological Monographs · doi:10.1002/ecm.1557 · Cited by 459
Face Repetition Probability Does Not Affect Repetition Suppression in Macaque Inferotemporal Cortex
Vinken, K., Op de Beeck, H. P., & Vogels, R. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.0462-18.2018 · Cited by 49
Metadata
- Authors
- Gabry, J., & Goodrich, B.
- Venue
- CRAN: Contributed Packages
- Publisher
- The R Foundation
- Published
- 2016-01-09
- OpenAlex
- W4399648311
- Cited by
- 503
- References
- 2
- Type
- dataset
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: rstanarm: Bayesian Applied Regression Modeling via Stan. https://app.cochat.ai/papers/10.32614/cran.package.rstanarm
- The paper
- Gabry, J., & Goodrich, B. (2016). rstanarm: Bayesian Applied Regression Modeling via Stan. CRAN: Contributed Packages. https://doi.org/10.32614/cran.package.rstanarm
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.