Package: climatestatsr
Type: Package
Title: Statistical Tools for Climate Change Analysis
Version: 0.1.2
Date: 2026-05-21
Authors@R: c(
    person("Sadikul", "Islam", email = "sadikul.islamiasri@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-2924-7122")),
    person("Rajesh", "Kaushal", role = "aut"))
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>
Description: 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.
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0.0)
Imports: stats, graphics, utils
Suggests: ggplot2 (>= 3.4.0), sf (>= 1.0-0), ncdf4 (>= 1.21), testthat
        (>= 3.0.0), knitr (>= 1.42), rmarkdown (>= 2.20)
VignetteBuilder: knitr
NeedsCompilation: no
ByteCompile: true
RoxygenNote: 7.3.3
Packaged: 2026-06-11 12:11:32 UTC; acer
Author: Sadikul Islam [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-2924-7122>),
  Rajesh Kaushal [aut]
Repository: CRAN
Date/Publication: 2026-06-18 14:20:14 UTC
