'DEploid' (Zhu et.al. 2018 <doi:10.1093/bioinformatics/btx530>)
    is designed for deconvoluting mixed genomes with unknown 
    proportions. Traditional phasing programs are limited to diploid organisms. 
    Our method modifies Li and Stephen’s algorithm with Markov chain Monte Carlo
    (MCMC) approaches, and builds a generic framework that allows haloptype
    searches in a multiple infection setting. This package provides R functions
    to support data analysis and results interpretation.

Provides functions to download, process, and visualize German geospatial 
    data across administrative levels, including states, districts, and municipalities. 
    Supports interactive tables and customized maps using built-in or external datasets.
    Official shapefiles are accessed from the German Federal Agency for Cartography and 
    Geodesy (BKG) <https://gdz.bkg.bund.de/>, licensed under dl-de/by-2-0 <https://www.govdata.de/dl-de/by-2-0>.

Fits latent (hidden) Markov models on mixed categorical and continuous (time series) data, otherwise known as dependent mixture models, see Visser & Speekenbrink (2010, <DOI:10.18637/jss.v036.i07>).

Methods for analyzing population dynamics and movement tracks simulated using the DEPONS model <https://www.depons.eu> (v.3.0), for manipulating input raster files, shipping routes and for analyzing sound propagated from ships.

Provides a convenient framework to simulate, test, power, and visualize 
    data for differential expression studies with lognormal or negative binomial 
    outcomes. Supported designs are two-sample comparisons of independent or 
    dependent outcomes. Power may be summarized in the context of controlling the 
    per-family error rate or family-wise error rate. Negative binomial methods are 
    described in Yu, Fernandez, and Brock (2017) <doi:10.1186/s12859-017-1648-2> 
    and Yu, Fernandez, and Brock (2020) <doi:10.1186/s12859-020-3541-7>.

Provides a unified framework to building Area Deprivation Index (ADI), 
    Social Vulnerability Index (SVI), and Neighborhood Deprivation Index (NDI)  
    deprivation measures and accessing related data from the U.S. Census Bureau 
    such as Gini coefficient data. Tools are also available for calculating percentiles,
    quantiles, and for creating clear map breaks for data visualization.