Package: BEND 1.0
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) <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>).
Authors:
BEND_1.0.tar.gz
BEND_1.0.tar.gz(r-4.5-noble)BEND_1.0.tar.gz(r-4.4-noble)
BEND_1.0.tgz(r-4.4-emscripten)BEND_1.0.tgz(r-4.3-emscripten)
BEND.pdf |BEND.html✨
BEND/json (API)
NEWS
# Install 'BEND' in R: |
install.packages('BEND', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/crohlo/bend/issues
- SimData_BPREM - Simulated data for a BPREM
- SimData_PCREM - Simulated data for a PCREM
- SimData_PREM - Simulated data for a PREM + Extensions
- results_bprem - Fitted results for a BPREM
- results_pcrem - Fitted results for a PCREM
- results_prem - Fitted results for a PREM
Last updated 9 months agofrom:13a5ec9842. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 01 2024 |
R-4.5-linux | OK | Dec 01 2024 |
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Bayesian Bivariate Piecewise Random Effects Model (BPREM) | Bayes_BPREM |
Bayesian Crossed Random Effects Model (CREM) | Bayes_CREM |
Bayesian Piecewise Random Effects Model (PREM) + Extensions | Bayes_PREM |
Plot a BEND Model (PREM, CREM, BPREM) | plot_BEND |
Fitted results for a BPREM | results_bprem |
Fitted results for a PCREM | results_pcrem |
Fitted results for a PREM | results_prem |
Simulated data for a BPREM | SimData_BPREM |
Simulated data for a PCREM | SimData_PCREM |
Simulated data for a PREM + Extensions | SimData_PREM |
Summarize the results of a bivariate piecewise random effects model (BPREM) | summary.BPREM |
Summarize the results of a crossed random effects model (CREM) | summary.CREM |
Summarize the results of a piecewise random effects model (PREM) | summary.PREM |