The Refugee Population Statistics Database published by
    The Office of The United Nations High Commissioner for Refugees (UNHCR)
    contains information about forcibly displaced populations
    spanning more than 70 years of statistical activities.
    It covers displaced populations such as refugees, asylum-seekers and
    internally displaced people, including their demographics.
    Stateless people are also included, most of who have never been displaced.
    The database also reflects the different types of solutions
    for displaced populations such as repatriation or resettlement. 
    More information on the data and methodology can be found on
    the UNHCR Refugee Data Finder <https://www.unhcr.org/refugee-statistics/>.

Methods for regression for functional
    data, including function-on-scalar, scalar-on-function, and
    function-on-function regression. Some of the functions are applicable to
    image data.

Produces Shiny applications for different types of popular functional data analyses. The functional data analyses are implemented in the refund package, then refund.shiny reads in the refund object and implements an object-specific set of plots based on the object class using S3.

It streamlines the evaluation of regression model
    assumptions, enhancing result reliability. With integrated tools for
    assessing key aspects like linearity, homoscedasticity, and more. It's
    a valuable asset for researchers and analysts working with regression
    models.

Implements regression calibration methods for correcting 
    measurement error in regression models using external or internal 
    reliability studies. Methods are described in Carroll, Ruppert, 
    Stefanski, and Crainiceanu (2006) "Measurement Error in Nonlinear 
    Models: A Modern Perspective" <doi:10.1201/9781420010138>.

Contains basic tools for visualizing, interpreting, and building regression models.  It has been designed for use with the book Introduction to Regression and Modeling with R by Adam Petrie, Cognella Publishers, ISBN: 978-1-63189-250-9.