This data package contains monthly climate data in Germany, it can be used for heating and 
    cooling calculations (external temperature, heating / cooling days, solar radiation).

Includes climate data from Japan Meteorological Agency ('JMA') <https://www.jma.go.jp/jma/indexe.html>.
    Can download climate data from 'JMA'.

Execute command line programs and format results for interactive use. It is based on the package 'processx' so it does not use shell to start up the process like system() and system2(). It also provides a simpler and cleaner interface than processx::run().

A suite of routines for Clifford algebras, using the
   'Map' class of the Standard Template Library.  Canonical
   reference: Hestenes (1987, ISBN 90-277-1673-0, "Clifford algebra
   to geometric calculus").  Special cases including Lorentz transforms,
   quaternion multiplication, and Grassmann algebra, are discussed.
   Vignettes presenting conformal geometric algebra, quaternions and
   split quaternions, dual numbers, and Lorentz transforms are
   included.  The package follows 'disordR' discipline.

Implementation of Hurst exponent estimators based on complex-valued lifting wavelet energy from Knight, M. I and Nunes, M. A. (2018) <doi:10.1007/s11222-018-9820-8>.

Obtain, transform and export climate data including reanalyses,
    (seasonal) forecasts and hindcasts, and weather stations for their use
    in epidemiological analyses. It is organised in three sequential blocks,
    input (download and load data), transform (downscaling, verification,
    spatiotemporal aggregation and threshold-based indicators) and output
    (visualising and exporting data). Downscaling methods include those
    described in Duzenli et al. (2026) <doi:10.1038/s41598-026-45067-2>
    and verification methods are based on those in Manubens et al. (2018) 
    <doi:10.1016/j.envsoft.2018.01.018>.

Download meteorological and climate data from the Spanish
    Meteorological Agency (AEMET) directly in R using the AEMET API.
    Create scientific visualizations, including climate charts, climate
    time series trend analyses, temperature and precipitation anomaly
    maps, warming stripes and climatograms.