Spatio-temporal data from Scotland used in the vignettes accompanying the CARBayes (spatial modelling) and CARBayesST (spatio-temporal modelling) packages. Most of the data relate to the set of 271 Intermediate Zones (IZ)  that make up the 2001 definition of the  Greater Glasgow and Clyde health board.

Implements a class of univariate and multivariate spatio-temporal generalised linear mixed models for areal unit data, with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC) simulation. The response variable can be binomial, Gaussian, or Poisson, but for some models only the binomial and Poisson data likelihoods are available. The spatio-temporal autocorrelation is modelled by  random effects, which are assigned conditional autoregressive (CAR) style prior distributions. A number of different random effects structures are available, including models similar to Rushworth et al. (2014) <doi:10.1016/j.sste.2014.05.001>. Full details are given in the vignette accompanying this package. The creation and development of this package was supported by the Engineering and Physical Sciences Research Council  (EPSRC) grants EP/J017442/1 and EP/T004878/1 and the Medical Research Council (MRC) grant MR/L022184/1.

Unified access to carbon market data from compliance
    emissions trading systems ('EU ETS', 'UK ETS', 'RGGI', California
    Cap-and-Trade) and voluntary carbon markets (Verra, Gold Standard,
    American Carbon Registry, Climate Action Reserve, via the Berkeley
    Voluntary Registry Offsets Database and the 'CarbonPlan' 'OffsetsDB'
    API). Includes cross-market price data from the 'International
    Carbon Action Partnership' ('ICAP') Allowance Price Explorer
    <https://icapcarbonaction.com/en/ets-prices>, global carbon pricing
    from the World Bank Carbon Pricing Dashboard
    <https://carbonpricingdashboard.worldbank.org/>, and the historical
    'RFF' World Carbon Pricing Database following Dolphin, Pollitt and
    Newbery (2020) <doi:10.1038/s41597-022-01659-x>. Data is downloaded
    from public sources on first use and cached locally.