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climatestatsr 0.1.2

CRAN Revision (2026-05-21)

Changes in response to CRAN review

• Added key method references with DOIs to the Description field in DESCRIPTION: Mann (1945), Sen (1968), Moran (1950), Coles (2001), Vicente-Serrano et al. (2010), Allen and Tett (1999).
• Fixed invalid URL for Steadman (1979) DOI in man/heat_index.Rd, inst/CITATION, vignettes/climatestatsr.Rmd, and inst/doc/climatestatsr.html. The legacy AMS DOI containing angle brackets is now rendered as plain text (not a hyperlink) to avoid URL parsing failures.
• Fixed 15 additional doi:[DOI](URL) Markdown patterns in the vignette that rendered as broken double-links in HTML output.
• Removed R/cleanup_stray_files.R (erroneously included in R/ directory).
• Removed build/ directory (artefact from local build process).
• Bumped version to 0.1.2.

climatestatsr 0.1.0

Initial CRAN Submission (2026-05-20)

Author: Sadikul Islam sadikul.islam@climate-research.org

New Functions

Temporal Analysis

• mk_test() – Mann-Kendall non-parametric trend test with optional AR(1) pre-whitening (Yue and Wang 2002 modified MK; doi:10.1029/2001WR000861).
• sens_slope() – Sen’s slope estimator with confidence intervals (Sen 1968; doi:10.2307/2285891).
• change_point_detection() – Pettitt test and CUSUM shift detection (Pettitt 1979; doi:10.2307/2346729).
• seasonal_decompose_climate() – STL and classical seasonal decomposition.
• rolling_trend() – Moving-window Sen’s slope for trend acceleration.
• temporal_homogeneity() – Standard Normal Homogeneity Test / SNHT (Alexandersson 1986; doi:10.1002/joc.3370060607).
• trend_significance() – Multi-station MK with FDR / Bonferroni correction (Benjamini and Hochberg 1995; doi:10.1111/j.2517-6161.1995.tb02031.x).
• autocorrelation_climate() – ACF, PACF, and Ljung-Box test.

Spatial Analysis

• morans_i() – Global Moran’s I with permutation test (Moran 1950; doi:10.2307/2332142).
• hot_cold_spots() – Getis-Ord Gi* local cluster detection (Getis and Ord 1992; doi:10.1111/j.1538-4632.1992.tb00261.x).
• spatial_interpolate() – Inverse-distance weighting and loess spline (Shepard 1968; doi:10.1145/800186.810616).
• spatial_trend_field() – Per-cell MK and Sen’s slope over a climate field.
• cluster_climate_zones() – K-means climate zone classification.
• spatial_anomaly() – Standardised anomaly field relative to baseline.
• elevation_lapse_rate() – Temperature-elevation OLS regression.

Extreme Events

• fit_gev() – GEV maximum likelihood with delta-method CIs (Coles 2001; doi:10.1007/978-1-4471-3675-0).
• return_period() – Return levels from GEV fit or empirical Gringorten (Gringorten 1963; doi:10.1029/JZ068i003p00813).
• peaks_over_threshold() – POT declustering and GPD fitting (Davison and Smith 1990; doi:10.1111/j.2517-6161.1990.tb01796.x).
• heat_wave_detection() – Threshold-based heat wave event catalogue.
• cold_spell_detection() – Cold spell event catalogue.
• drought_spell() – Drought detection from SPI / SPEI series.
• extreme_value_index() – Hill tail-index estimator (Hill 1975; doi:10.1214/aos/1176343247).
• rgev_sim() – GEV random variate generator for simulation.

Climate Indices

• spi() – Standardised Precipitation Index (McKee et al. 1993).
• spei() – Standardised Precipitation-Evapotranspiration Index (Vicente-Serrano et al. 2010; doi:10.1175/2009JCLI2909.1).
• pdsi_simple() – Simplified Palmer Drought Severity Index (Palmer 1965; Thornthwaite 1948, doi:10.2307/210739).
• heat_index() – Apparent temperature (Rothfusz 1990; Steadman 1979, doi:10.1175/1520-0450(1979)018<0861:TAOSPI>2.0.CO;2).
• wind_chill() – Wind chill temperature (JAG/TI 2001).
• frost_days() – Annual or monthly frost day count.
• growing_degree_days() – GDD with base and upper thresholds.
• diurnal_temp_range() – Mean diurnal temperature range.

Detection and Attribution

• detection_attribution() – Signal-to-noise detection test (Allen and Tett 1999; doi:10.1007/s003820050291).
• fingerprint_analysis() – EOF-based spatial fingerprinting (von Storch and Zwiers 1999; doi:10.1017/CBO9780511612336).
• optimal_fingerprint() – GLS optimal fingerprint regression (Allen and Tett 1999; doi:10.1007/s003820050291).

Utilities

• fill_gaps_climate() – Linear, climatological or reference gap-filling.
• homogenize_series() – SNHT break-point correction.
• aggregate_climate() – Daily to monthly / seasonal / annual aggregation.
• anomaly_baseline() – Anomaly relative to reference period.
• standardize_climate() – Z-score standardisation (optionally by month).
• climate_summary() – One-call descriptive and trend summary.

S3 Methods

• print.climate_test(), summary.climate_test(), plot.climate_test()
• print.gev_fit()

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.