CRAN/E | BEND

BEND

Bayesian Estimation of Nonlinear Data (BEND)

Installation

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) 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).

github.com/crohlo/BEND
Bug report File report

Key Metrics

Version 1.0
R ≥ 3.6.3
Published 2024-03-23 27 days ago
Needs compilation? no
License MIT
License File
CRAN checks BEND results

Downloads

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Maintainer

Maintainer

Corissa T. Rohloff

corissa.wurth@gmail.com

Authors

Corissa T. Rohloff

aut / cre

Rik Lamm

aut

Yadira Peralta

aut

Nidhi Kohli

aut

Eric F. Lock

aut

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 3.6.3

Imports

coda ≥ 0.19.4
label.switching ≥ 1.8
rjags ≥ 4.14