Software products developed as part of our research are almost always made available as part of online supplementary materials through journal websites where the research is published. Additional software products are sometimes released separately with significant added features, substantial performance improvements, and enhanced user friendliness. Such products and related (peer-reviewed) papers released or published separately are listed here.

We do not provide personal software support. Version updates, if any, will be made available through this website or, for official R releases, the Comprensive R Archive Network (CRAN).

1. R package heiscore (2024): Implements three different scoring methods recommended by the Dietary Guidelines of America (DGA) for analyzing the Healthy Eating Index (HEI) using the National Health and Nutrition Examina- tion Survey (NHANES) data, facilitating the visualization of component scores and their comparisons across different population subgroups and individuals.
   Main developers: Berkeley Ho and Vijetha Ramdas [link to the package on CRAN]
   Paper on the package: Ho, B. N., Ramdas, V. and Sarkar, A. (2024+) HEI analysis of NHANES dietary data: Exploring the diet quality of Americans with R package heiscore. (under revision) [link to preprint]


2. R package BMRMM (2022): Implements flexible Bayesian Markov (renewal) mixed models to analyze categorical sequences (and associated state duration times or inter-state intervals).
   Main developer: Yutong Wu
   [link to methodology paper 1] [link to methodology paper 2] [link to the package on CRAN]
   Paper on the package: Wu, Y. and Sarkar, A. (2024+). BMRMM: An R package for Bayesian Markov (renewal) mixed models. To appear in the R Journal.


3. R package lddmm (2022): Implements a flexible Bayesian longitudinal drift-diffusion mixed model for category learning to ana- lyze response accuracies and associated (censored) response times.
   Main developer: Giorgio Paulon
   [link to the methodology paper] [link to the package on CRAN]