Create rich and fully interactive timeline visualizations.
    Timelines can be included in Shiny apps or R markdown documents.
    'timevis' includes an extensive API to manipulate a timeline after creation,
    and supports getting data out of the visualization into R. Based on the
    'vis.js' Timeline JavaScript library.

Unleash the power of time-series data visualization with ease using our package. Designed with simplicity 
 in mind, it offers three key features through the 'shiny' package output. The first tab shows time- series 
 charts with forecasts, allowing users to visualize trends and changes effortlessly. The second one displays 
 Averages per country presented in tables with accompanying sparklines, providing a quick and attractive 
 overview of the data. The last tab presents A customizable world map colored based on user-defined 
 variables for any chosen number of countries, offering an advanced visual approach to understanding 
 geographical data distributions. This package operates with just a few simple arguments, enabling users 
 to conduct sophisticated analyses without the need for complex programming skills. Transform your 
 time-series data analysis experience with our user-friendly tool.

A problem solving environment (PSE) for fitting separable
    nonlinear models to measurements arising in physics and chemistry
    experiments, as described by Mullen & van Stokkum (2007)
    <doi:10.18637/jss.v018.i03> for its use in fitting time resolved
    spectroscopy data, and as described by Laptenok et al. (2007)
    <doi:10.18637/jss.v018.i08> for its use in fitting Fluorescence
    Lifetime Imaging Microscopy (FLIM) data, in the study of Förster
    Resonance Energy Transfer (FRET).  `TIMP` also serves as the
    computation backend for the `GloTarAn` software, a graphical user
    interface for the package, as described in Snellenburg et al. (2012)
    <doi:10.18637/jss.v049.i03>.

Functions for statistical analysis, prediction and control of time
 series based mainly on Akaike and Nakagawa (1988) <ISBN 978-90-277-2786-2>.