Contains methods for detection of clusters in hierarchical clustering dendrograms.

Easy-to-use and efficient interface for 
  Bayesian inference of complex panel (time series) data using dynamic 
  multivariate panel models by Helske and Tikka (2024) 
  <doi:10.1016/j.alcr.2024.100617>. The package supports joint modeling of 
  multiple measurements per individual, time-varying and time-invariant 
  effects, and a wide range of discrete and continuous distributions. 
  Estimation of these dynamic multivariate panel models is carried out via 
  'Stan'. For an in-depth tutorial of the package, see 
  (Tikka and Helske, 2024) <doi:10.48550/arXiv.2302.01607>.

Provides functions for inferring longitudinal dominance hierarchies, which describe dominance relationships and their dynamics in a single latent hierarchy over time. Strauss & Holekamp (in press).

It allows running 'Dynare' program from base R, R Markdown and Quarto. 'Dynare' is a software platform for handling a wide class of economic models, in particular dynamic stochastic general equilibrium ('DSGE') and overlapping generations ('OLG') models.  This package does not only integrate R and Dynare but also serves as a 'Dynare' Knit-Engine for 'knitr' package. The package requires 'Dynare' (<https://www.dynare.org/>) and 'Octave' (<https://www.octave.org/download.html>).  Write all your 'Dynare' commands in R or R Markdown chunk.

A multiple testing procedure aims to find the rare-variant association regions. When variants are rare, the single variant association test approach suffers from low power. To improve testing power, the procedure dynamically and hierarchically aggregates smaller genome regions to larger ones and performs multiple testing for disease associations with a controlled node-level false discovery rate. This method are members of the family of ancillary information assisted recursive testing introduced in Pura, Li, Chan and Xie (2021) <arXiv:1906.07757v2> and Li, Sung and Xie (2021) <arXiv:2103.11085v2>.