Implementation of an efficient BLAST-like sequence
             comparison algorithm, written in 'C++11' and using
             native R datatypes. Blaster is based on 'nsearch' -
             Schmid et al (2018) <doi:10.1101/399782>.

Compose and send out responsive HTML email messages that render
    perfectly across a range of email clients and device sizes. Helper functions
    let the user insert embedded images, web link buttons, and 'ggplot2' plot
    objects into the message body. Messages can be sent through an 'SMTP'
    server, through the 'RStudio Connect' service, or through the 'Mailgun' API
    service <https://www.mailgun.com/>.

Estimation of latent variable models using Bayesian methods. Currently estimates the loglinear cognitive diagnosis model of Henson, Templin, and Willse (2009) <doi:10.1007/s11336-008-9089-5>.

A wrapper around the 'Blat' command line SMTP mailer for Windows.
   'Blat' is public domain software, but be sure to read the license before use.
    It can be found at the Blat website http://www.blat.net.

Fit a variety of Bayesian latent variable models, including confirmatory
   factor analysis, structural equation models, and latent growth curve models. References: Merkle & Rosseel (2018) <doi:10.18637/jss.v085.i04>; Merkle et al. (2021) <doi:10.18637/jss.v100.i06>.

An implementation of the Black-Litterman Model and Attilio
    Meucci's copula opinion pooling framework as described in
    Meucci, Attilio (2005) <doi:10.2139/ssrn.848407>,
    Meucci, Attilio (2006) <doi:10.2139/ssrn.872577> and
    Meucci, Attilio (2008) <doi:10.2139/ssrn.1117574>.

Tools for assessing exotic species' contributions to
        landscape homogeneity using average pairwise Jaccard similarity
        and an analytical approximation derived in Harris et al. (2011,
        "Occupancy is nine-tenths of the law," The American
        Naturalist). Also includes a randomization method for assessing
        sources of model error.

Performs a joint analysis of experiments with mixtures and random effects, taking on a process variable represented by a covariable.