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BEND

2.1.1

Bayesian Estimation of Nonlinear Data (BEND)

0packages depend
3.7Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Corissa T. RohloffFirst published 2024-03-236 releasesCRAN page ↗GitHub ↗

Provides a set of models to estimate nonlinear longitudinal data using Bayesian estimation methods. These models include the: 1) Bayesian Piecewise Random Effects Model (Bayes_PREM()) which estimates a piecewise random effects (mixture) model for a given number of latent classes and a latent number of possible changepoints in each class, and can incorporate class and outcome predictive covariates (see Lamm (2022) https://hdl.handle.net/11299/252533 and Lock et al., (2018) doi:10.1007/s11336-017-9594-5), 2) Bayesian Crossed Random Effects Model (Bayes_CREM()) which estimates a linear, quadratic, exponential, or piecewise crossed random effects models where individuals are changing groups over time (e.g., students and schools; see Rohloff et al., (2024) doi:10.1111/bmsp.12334), and 3) Bayesian Bivariate Piecewise Random Effects Model (Bayes_BPREM()) which estimates a bivariate piecewise random effects model to jointly model two related outcomes (e.g., reading and math achievement; see Peralta et al., (2022) doi:10.1037/met0000358).

Install

Health

CRAN checks
13OK
Slowest check: 1.3 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
3
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 307 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
86%
Documented parameters
100%
Return-value docs
100%
References docs
11%

Downloads

3.7K
CRAN downloads in the past year
Rank #8,452 · ~10/day · ~307/mo
Daily download trend is not available in this view yet.
28930 days
1.1K90 days
3.7K1 year
Compare downloads with other packages →
Also on236 r2u50 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-08-01

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/crohlo/bend on 2026-08-23.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.6.3
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (5)
Maintainer (1)
Author, Maintainer
Authors (5)
Author, Maintainer
Author
Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 2.1.1Latest
    2026-07-31 · current release · diff ↗
  • 2.1.0
    2026-07-10 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 2.0.1
    2026-04-19 · diff ↗
  • 2.0.0
    2026-03-31 · diff ↗
  • 1.1
    2025-09-24 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0
    2024-03-23
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-03-23
Total releases
6 / 2 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.6.3
Bundled data
66 KB / 6 files
Download size
132 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BEND")
Rohloff, C. T., Kohli, N., Lamm, R., Lock, E. F., & Peralta, Y. (2026). BEND: Bayesian Estimation of Nonlinear Data (BEND) (Version 2.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.BEND

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BEND version 2.1.1 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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