# BEND

Bayesian Estimation of Nonlinear Data (BEND)

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)

- Version1.0
- R version≥ 3.6.3
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?No
- Last release03/23/2024

## Documentation

## Team

### Corissa T. Rohloff

### Rik Lamm

### Yadira Peralta

### Nidhi Kohli

### Eric F. Lock

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## Dependencies

- Depends1 package
- Imports3 packages