Fit continuous-time correlated random walk models with time indexed
    covariates to animal telemetry data. The model is fit using the Kalman-filter on
    a state space version of the continuous-time stochastic movement process.

A tidy, pipe-friendly toolkit for reproducible web crawling
    and structured data collection, inspired by the architecture of the
    'Crawlee' library. Provides a unified crawler with a deduplicating,
    resumable request queue, content-type aware handlers, structured
    storage backends and rich console logging via 'cli'. Supports crawling
    HTML pages, sitemaps, RSS and Atom feeds and PDF documents, with optional
    headless-browser rendering and helpers for retrieval-augmented generation.

The crayon package is now superseded. Please use the 'cli'
    package for new projects.  Colored terminal output on terminals that
    support 'ANSI' color and highlight codes. It also works in 'Emacs'
    'ESS'. 'ANSI' color support is automatically detected. Colors and
    highlighting can be combined and nested. New styles can also be
    created easily.  This package was inspired by the 'chalk' 'JavaScript'
    project.

Provides color palettes based on crayon colors since the early 1900s. 
    Colors are based on various crayon colors, sets, and promotional palettes, most of
    which can be found at <https://en.wikipedia.org/wiki/List_of_Crayola_crayon_colors>. All 
    palettes are discrete palettes and are not necessarily color-blind friendly. 
    Provides scales for 'ggplot2' for discrete coloring.

Provides methods for healthcare performance surveillance
    using Bayesian risk estimation, latent organisational trust
    modelling, cyber-resilience assessment, external validation,
    decision-theoretic optimisation, and digital-twin deployment
    simulation. The package supports prospective deterioration
    monitoring, uncertainty-aware risk assessment, intervention
    prioritisation, ablation analysis, and operational evaluation for
    healthcare performance management and health system resilience
    research. The methodological framework is informed by contemporary
    guidance on prediction model development and validation
    (Efthimiou et al., 2024 <doi:10.1136/bmj-2023-078276>),
    transparent reporting of prediction models
    (Collins et al., 2024 <doi:10.1136/bmj-2023-078378>), and
    decision-analytic model evaluation
    (Vickers and Elkin, 2006 <doi:10.1177/0272989X06295361>).