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Bayesian Estimation of Nonlinear Data (BEND)

0packages depend
3.9Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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).

Changes in 2.1.2

Bug Fixes

  • Corrected print error in summary() output for BPREM.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.3 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.1.2
READMEYes · 307 wordsVignettesNoNEWSYes · 100% structured · mentions 2.1.2Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
27
Examples that run
86%18 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
11%

Downloads

3.9K
CRAN downloads in the past year
Rank #9,694 · ~11/day · ~326/mo
Daily download trend is not available in this view yet.
28930 days
1K90 days
3.9K1 year
Compare downloads with other packages →
Also on226 r2u27 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-08-25
Responsiveness
not measured
PracticesBeta

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

Checks run against github.com/crohlo/bend on 2026-10-25.

Continuous integration (1)
GitHub Actions
Docs source (1)
README.Rmd
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing BEND adds 5 packages (2 with compiled code, 670 KB of source tarballs). Heaviest: lpSolve 457 KB, rjags 75 KB, coda 73 KB.

Depends (1)
R >= 3.6.3
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (5)
Author, Maintainer since 1.0 (2024)
Author
Releases (7)

Pick two releases to compare their code metrics.

  • 2.1.2Latest
    record
    2026-08-25 · current release · diff ↗
  • 2.1.1
    record
    2026-07-31 · diff ↗
  • 2.1.0
    record
    2026-07-10 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 2.0.1
    record
    2026-04-19 · diff ↗
  • 2.0.0
    record
    2026-03-31 · diff ↗ ·
    added 8 exports
    getClassProb, getCoef, getFitted, getFixEf, getKProb, getModelFit, getRanEf, getVarCov
  • 1.1
    record
    2025-09-24 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0
    record
    2024-03-23
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-03-23
Total releases
7 / 2 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.6.3
Bundled data
66 KB / 6 files
Download size
132 KB

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 2.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.BEND

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 2.1.2 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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