Estimate a FAVAR model by a Bayesian method, based on Bernanke et al. (2005) <DOI:10.1162/0033553053327452>.

Easily use 'Font Awesome' icons as 'shiny' 'favicons' (the
    icons that appear on browser tabs).  'Font Awesome' 
    (<https://fontawesome.com/>) is a popular set of icons that can be used in 
    web pages.  'favawesome' provides a simple way to use these icons as 
    'favicons' in 'shiny' applications and other HTML pages.

Finds the URL to the 'favicon' for a website. This is useful if you
  want to display the 'favicon' in an HTML document or web application,
  especially if the website is behind a firewall.

A dataset of favourite numbers, selected from an online poll of over 30,000 people by Alex Bellos
             (http://pages.bloomsbury.com/favouritenumber).

Validate function arguments succinctly with informative error messages and optional automatic type casting and size recycling. Enable schema-based assertions by attaching reusable rules to data.frame and list objects for use throughout workflows.

Provides functions and datasets from the book "Forest Analytics with R".

An implementation of the 'Fish Bioenergetics 4.0' framework
    described in Deslauriers et al. (2017)
    <doi:10.1080/03632415.2017.1377558>. Provides automated parameter
    optimization, multi-prey diet modeling, and comprehensive energy budget
    simulations for fisheries research and aquaculture applications. An
    optional 'TMB' (Template Model Builder) backend delivers 10-50x speedup
    in maximum likelihood estimation while maintaining full backward
    compatibility. Includes species-specific parameter databases and tools
    for modeling fish growth, consumption, and metabolism under varying
    environmental conditions.

Implements the Fourier Bootstrap Autoregressive Distributed Lag 
    (FBARDL) bounds testing approach for cointegration analysis. Combines the 
    Pesaran, Shin & Smith (2001) <doi:10.1002/jae.616> ARDL bounds testing 
    framework with Fourier terms to capture structural breaks following 
    Yilanci, Bozoklu & Gorus (2020) <doi:10.1080/00036846.2019.1686454>, 
    and bootstrap critical values based on McNown, Sam & Goh (2018) 
    <doi:10.1080/00036846.2017.1366643> and Bertelli, Vacca & Zoia (2022) 
    <doi:10.1016/j.econmod.2022.105987>. Features include automatic lag 
    selection via AIC/BIC, optimal Fourier frequency selection by minimum 
    SSR, long-run and short-run coefficient estimation, diagnostic tests, 
    and dynamic multiplier analysis.