Facilitates analysis of paleontological sequences of trait values.  
    Functions are provided to fit, using maximum likelihood, simple 
    evolutionary models (including unbiased random walks, directional 
    evolution,stasis, Ornstein-Uhlenbeck, covariate-tracking) and 
    complex models (punctuation, mode shifts).

Hexadecimal codes are typically used to represent colors in R.
    Connecting these codes to their colors requires practice or memorization.
    'palette' provides a 'vctrs' class for working with color palettes, including
    printing and plotting functions. The goal of the class is to place visual
    representations of color palettes directly on or, at least, next to their
    corresponding character representations. Palette extensions also are provided
    for data frames using 'pillar'.

The choices of color palettes in R can be quite overwhelming
    with palettes spread over many packages with many different API's.
    This packages aims to collect all color palettes across the R
    ecosystem under the same package with a streamlined API.

Streamlines the steps for adding colour scales and associated legends 
         when working with base R graphics, especially for interactive use. Popular
         palettes are included and pretty legends produced when mapping a large 
         variety of vector classes to a colour scale. An additional helper for 
         adding axes and grid lines complements the base::plot() work flow.

Provides specialized color palettes representing phenological 
    transitions and biological lifecycles within Philippine landscapes. 
    Rather than abstract gradients, these scales are anchored to 
    topologically grounded states such as agricultural maturity, 
    seasonal vegetation shifts, and environmental readiness. Palettes 
    are indexed against the Biologische Bundesanstalt, Bundessortenamt 
    und CHemische Industrie (BBCH) scale (Meier, 2023) 
    <https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00010428/BBCH-Skala_en.pdf> 
    for terrestrial vegetation and the Reef Health Index (RHI) framework 
    (McField and Kramer, 2007) <https://www.healthyreefs.org> for marine 
    ecosystems. This ensures scientific interoperability across 
    archipelagic spatial models, aligning with global standards for 
    ecological state-transition modeling (Schwartz, 2013) 
    <doi:10.1007/978-94-007-6925-0>.