Compute the standard suite of climate indices from daily
    weather observations. Provides the canonical 'ETCCDI' 27 (Expert
    Team on Climate Change Detection and Indices), the 'ET-SCI'
    heatwave and cold-wave families plus the Excess Heat Factor of
    Nairn and Fawcett (2013), and agroclimatic, drought, and
    human-comfort families. Drought indices ('SPI', 'SPEI') accept a
    choice of distribution (gamma or Pearson III for SPI; log-logistic
    or generalised extreme value for SPEI). Reference
    evapotranspiration is available via Hargreaves and the FAO-56
    Penman-Monteith method (Allen et al. 1998). Percentile-based
    indices support the Zhang (2005) in-base bootstrap. Daily inputs
    are numeric vectors plus a 'Date' vector; outputs are tidy data
    frames. Optional gridded support via 'terra' applies any index
    over a 'SpatRaster' and reads 'netCDF' input. No external API
    calls; pairs with data packages such as 'readnoaa'. References:
    Alexander et al. (2006) <doi:10.1029/2005JD006290>; Zhang et al.
    (2011) <doi:10.1002/wcc.147>; Zhang et al. (2005)
    <doi:10.1175/JCLI3366.1>.

Climate stability measures are not formalized in the literature and
  tools for generating stability metrics from existing data are nascent.
  This package provides tools for calculating climate stability from raster data
  encapsulating climate change as a series of time slices. The methods follow
  Owens and Guralnick <doi:10.17161/bi.v14i0.9786> Biodiversity Informatics.

A comprehensive collection of statistical functions for
    climate change research. Provides tools for temporal trend detection
    based on the Mann-Kendall (MK) test (Mann 1945 <doi:10.2307/1907187>;
    Kendall 1975, ISBN:0852641990) and Sen's slope (Sen 1968
    <doi:10.2307/2285891>), spatial autocorrelation using Moran's I
    (Moran 1950 <doi:10.2307/2332142>), extreme value analysis using the
    Generalised Extreme Value (GEV) distribution and Peaks-Over-Threshold
    (POT) method (Coles 2001 <doi:10.1007/978-1-4471-3675-0>), standardised
    drought indices including the Standardised Precipitation Index (SPI;
    McKee et al. 1993) and the Standardised Precipitation Evapotranspiration
    Index (SPEI; Vicente-Serrano et al. 2010 <doi:10.1175/2009JCLI2909.1>),
    and formal detection-attribution methods via optimal fingerprint
    regression and Empirical Orthogonal Function (EOF) analysis
    (Allen and Tett 1999 <doi:10.1007/s003820050291>), and apparent
    temperature via the heat index (Steadman 1979
    <doi:10.1175/1520-0450(1979)018%3C0861:TAOSPI%3E2.0.CO;2>).
    Suitable for both station-level time series and gridded climate fields.