Set of generalised tools for the flexible computation of climate 
  related indicators defined by the user. Each method represents a specific 
  mathematical approach which is combined with the possibility to select an 
  arbitrary time period to define the indicator. This enables a wide range of 
  possibilities to tailor the most suitable indicator for each particular climate 
  service application (agriculture, food security, energy, water management, ...). 
  This package is intended for sub-seasonal, seasonal and decadal climate 
  predictions, but its methods are also applicable to other time-scales, 
  provided the dimensional structure of the input is maintained. Additionally, 
  the outputs of the functions in this package are compatible with 'CSTools'. 
  This package is described in 'Pérez-Zanón et al. (2023) 
  <doi:10.1016/j.cliser.2023.100393>' and it was developed in the context of 
  'H2020 MED-GOLD' (776467) and 'S2S4E' (776787) projects. See 'Lledó et al. (2019) 
  <doi:10.1016/j.renene.2019.04.135>' and 'Chou et al., 2023 
  <doi:10.1016/j.cliser.2023.100345>' for details.

Provides datasets containing preformatted maps of Norway at
    the county, municipality, and ward (Oslo only) level for redistricting in 
    2024, 2020, 2018, and 2017. Multiple layouts are provided (normal, split, 
    and with an insert for Oslo), allowing the user to rapidly create choropleth
    maps of Norway without any geolibraries.

Functions for cost-sensitive multi-criteria ensemble selection (CSMES) (as described in De bock et al. (2020) <doi:10.1016/j.ejor.2020.01.052>) for cost-sensitive learning under unknown cost conditions.

Provides functions for computing the density
    and the log-likelihood function of closed-skew normal variates,
    and for generating random vectors sampled from this distribution.
    See Gonzalez-Farias, G., Dominguez-Molina, J., and Gupta, A. (2004).
    The closed skew normal distribution, 
    Skew-elliptical distributions and their applications: a journey beyond normality,
    Chapman and Hall/CRC, Boca Raton, FL, pp. 25-42.