Implementation of dependent discrete models (with reversible jump MCMC) derived from 'BayesTraits' V5.0.3 <https://github.com/AndrewPMeade/BayesTraits-Release/tree/Release>. Original software copyright Andrew Meade and contributors, distributed under GPL-3. Modifications for this package by Vivian G. Li <liguo.vivian@gmail.com>. The following articles should be referenced when using this package: Pagel, M., A. Meade and D. Barker (2004) "Bayesian estimation of ancestral character states on phylogenies" <doi:10.1080/10635150490522232>; Pagel, M. (1994) "Detecting correlated evolution on phylogenies: a general method for the comparative analysis of discrete characters" <doi:10.1098/rspb.1994.0006>; Pagel, M. and A. Meade (2006) "Bayesian analysis of correlated evolution of discrete characters by reversible-jump Markov chain Monte Carlo" <doi:10.1086/503444>.

Tools for performing phylogenetic comparative methods for datasets with with multiple observations per species (intraspecific variation or measurement error) and/or missing data (Goolsby et al. 2017). Performs ancestral state reconstruction and missing data imputation on the estimated evolutionary model, which can be specified as Brownian Motion, Ornstein-Uhlenbeck, Early-Burst, Pagel's lambda, kappa, or delta, or a star phylogeny.

Work with the PhyloPic Web Service (<http://api-docs.phylopic.org/v2/>) 
    to fetch silhouette images of organisms. Includes functions for adding 
    silhouettes to both base R plots and ggplot2 plots.

Renders diagrams written in the 'pic' picture-drawing language
    (Kernighan, 1984) to SVG, PNG and PDF, using 'rpic'
    <https://github.com/milkway/rpic-lang>, a reimplementation of 'pic' in
    'Rust' with no system dependencies. Includes a native circuit-element
    library in the spirit of 'circuit_macros', TeX math labels typeset
    natively, structured compile diagnostics, and a 'knitr' language engine
    for inline diagrams in 'R Markdown' and 'Quarto' documents.

Get information (boards, pins and
    users) from the Pinterest <http://www.pinterest.com>
    API.