Package: BEND
Title: Bayesian Estimation of Nonlinear Data (BEND)
Version: 2.1.2
Authors@R: c(
  person("Corissa T.", "Rohloff", email = "corissa.wurth@gmail.com", role = c("aut","cre"), comment = c(ORCID = "0000-0003-3228-4653")),
  person("Rik", "Lamm", email = "rzlamm@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-3317-6243")),
  person("Yadira", "Peralta", email = "yadira.peralta@cide.edu", role = "aut", comment = c(ORCID = "0000-0003-4823-6939")),
  person("Nidhi", "Kohli", email = "nkohli@umn.edu", role = "aut", comment = c(ORCID = "0000-0003-4690-2854")),
  person("Eric F.", "Lock", email = "elock@umn.edu", role = "aut", comment = c(ORCID = "0000-0003-4663-2356")))
Description: 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>).
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 8.0.0
URL: https://github.com/crohlo/BEND
BugReports: https://github.com/crohlo/BEND/issues
Depends: R (>= 3.6.3)
Imports: coda (>= 0.19.4.1), label.switching (>= 1.8), rjags (>= 4.17)
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-17 09:13:55 UTC; root
Author: Corissa T. Rohloff [aut, cre] (ORCID:
        <https://orcid.org/0000-0003-3228-4653>), Rik Lamm [aut]
        (ORCID: <https://orcid.org/0000-0002-3317-6243>), Yadira
        Peralta [aut] (ORCID: <https://orcid.org/0000-0003-4823-6939>),
        Nidhi Kohli [aut] (ORCID:
        <https://orcid.org/0000-0003-4690-2854>), Eric F. Lock [aut]
        (ORCID: <https://orcid.org/0000-0003-4663-2356>)
Maintainer: Corissa T. Rohloff <corissa.wurth@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-08-25 16:30:02 UTC
RemoteUrl: https://github.com/cran/BEND
RemoteRef: HEAD
RemoteSha: e58e4a0c680cd40002b810084f3e2c5e7417d302