hmde: Hierarchical Methods for Differential Equations (original) (raw)
Wrapper for Stan that offers a number of in-built models to implement a hierarchical Bayesian longitudinal model for repeat observation data. Model choice selects the differential equation that is fit to the observations. Single and multi-individual models are available. O'Brien et al. (2024) <doi:10.1111/2041-210X.14463>.
Version:
1.2.2
Depends:
R (≥ 4.1.0)
Imports:
methods, dplyr, ggplot2, purrr, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rlang, rstan (≥ 2.18.1), rstantools (≥ 2.3.1.1)
LinkingTo:
BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests:
knitr, rmarkdown, testthat (≥ 3.0.0), withr, mnormt, here, patchwork, deSolve, cowplot, mixtools, MASS
Published:
2025-10-02
DOI:
Author:
Daniel Falster 
[aut, ctb], Tess O'Brien [aut, cre, cph], Fonti Kar [ctb], David Warton [aut, ctb]
Maintainer:
Tess O'Brien <tess_obrien at fastmail.com>
BugReports:
https://github.com/traitecoevo/hmde/issues
License:
URL:
https://traitecoevo.github.io/hmde/
NeedsCompilation:
yes
SystemRequirements:
GNU make
Materials:
CRAN checks: