Provides a comprehensive library for colour vectors and colour
    palettes using a new family of colour classes (palettes_colour and
    palettes_palette) that always print as hex codes with colour previews.
    Capabilities include: formatting, casting and coercion, extraction and
    updating of components, plotting, colour mixing arithmetic, and colour
    interpolation.

A set of palettes imported from 'Gimp' distributed 
  under GPL3 (<https://www.gimp.org/about/COPYING>), and 'Inkscape' 
  distributed under GPL2 (<https://inkscape.org/about/license/>).

Use Pokemon(R) inspired palettes with additional 'ggplot2' scales.
    Palettes are the colours in each Pokemon's sprite, ordered by how common
    they are in the image. The first 386 Pokemon are currently provided.

Probabilistic framework for the analysis of archaeological
    palimpsests based on the Stratigraphic Entanglement Field (SEF).
    Integrates spatial proximity, stratigraphic depth, chronological
    overlap, and cultural similarity to estimate latent depositional
    phases via diagonal Gaussian mixture Expectation-Maximisation (EM).
    Provides the Stratigraphic Entanglement Index (SEI), Excavation
    Stratigraphic Energy (ESE), and Palimpsest Dissolution Index (PDI)
    for quantifying depositional coherence, detecting intrusive finds,
    and measuring palimpsest formation. Includes simulation, diagnostics,
    phase-count selection, publication-quality plots, and Geographic
    Information System (GIS) export via 'sf'. Methods are described in Cocca (2026)
    <https://github.com/enzococca/palimpsestr>.

R package to compute Incoming Solar Radiation (insolation) for palaeoclimate studies. Features three solutions: Berger (1978), Berger and Loutre (1991) and Laskar et al. (2004). Computes daily-mean, season-averaged and annual means and for all latitudes, and polar night dates.

Functions to fit point process models using the Palm likelihood. First proposed by Tanaka, Ogata, and Stoyan (2008) <DOI:10.1002/bimj.200610339>, maximisation of the Palm likelihood can provide computationally efficient parameter estimation for point process models in situations where the full likelihood is intractable. This package is chiefly focused on Neyman-Scott point processes, but can also fit the void processes proposed by Jones-Todd et al. (2019) <DOI:10.1002/sim.8046>. The development of this package was motivated by the analysis of capture-recapture surveys on which individuals cannot be identified---the data from which can conceptually be seen as a clustered point process (Stevenson, Borchers, and Fewster, 2019 <DOI:10.1111/biom.12983>). As such, some of the functions in this package are specifically for the estimation of cetacean density from two-camera aerial surveys.