{ "_id": "6a3449493efcd9bda43c1e7b", "Package": "climatestatsr", "Type": "Package", "Title": "Statistical Tools for Climate Change Analysis", "Version": "0.1.2", "Date": "2026-05-21", "Authors@R": "c(\nperson(\"Sadikul\", \"Islam\", email = \"sadikul.islamiasri@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-2924-7122\")),\nperson(\"Rajesh\", \"Kaushal\", role = \"aut\"))", "Maintainer": "Sadikul Islam ", "Description": "A comprehensive collection of statistical functions for\nclimate change research. Provides tools for temporal trend\ndetection based on the Mann-Kendall (MK) test (Mann 1945\n; Kendall 1975, ISBN:0852641990) and Sen's\nslope (Sen 1968 ), spatial autocorrelation\nusing Moran's I (Moran 1950 ), extreme\nvalue analysis using the Generalised Extreme Value (GEV)\ndistribution and Peaks-Over-Threshold (POT) method (Coles 2001\n), standardised drought indices\nincluding the Standardised Precipitation Index (SPI; McKee et\nal. 1993) and the Standardised Precipitation Evapotranspiration\nIndex (SPEI; Vicente-Serrano et al. 2010\n), and formal detection-attribution\nmethods via optimal fingerprint regression and Empirical\nOrthogonal Function (EOF) analysis (Allen and Tett 1999\n), and apparent temperature via the\nheat index (Steadman 1979\n).\nSuitable for both station-level time series and gridded climate\nfields.", "License": "GPL-3", "Encoding": "UTF-8", "Language": "en-US", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "ByteCompile": "true", "RoxygenNote": 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"title": "K-Means Climate Zone Classification", "topics": [ "cluster_climate_zones" ] }, { "page": "cold_spell_detection", "title": "Cold Spell Detection", "topics": [ "cold_spell_detection" ] }, { "page": "detection_attribution", "title": "Climate Change Detection and Attribution Test", "topics": [ "detection_attribution" ] }, { "page": "diurnal_temp_range", "title": "Diurnal Temperature Range", "topics": [ "diurnal_temp_range" ] }, { "page": "drought_spell", "title": "Drought Spell Detection from Standardised Indices", "topics": [ "drought_spell" ] }, { "page": "elevation_lapse_rate", "title": "Environmental Lapse Rate Estimation", "topics": [ "elevation_lapse_rate" ] }, { "page": "extreme_value_index", "title": "Extreme Value Index (Hill Estimator)", "topics": [ "extreme_value_index" ] }, { "page": "fill_gaps_climate", "title": "Gap-Filling for Climate Series", "topics": [ "fill_gaps_climate" ] }, { "page": "fingerprint_analysis", "title": "EOF-Based Spatial Fingerprint Analysis", 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"optimal_fingerprint", "title": "Optimal Fingerprint Regression", "topics": [ "optimal_fingerprint" ] }, { "page": "pdsi_simple", "title": "Simplified Palmer Drought Severity Index", "topics": [ "pdsi_simple" ] }, { "page": "peaks_over_threshold", "title": "Peaks-Over-Threshold Analysis", "topics": [ "peaks_over_threshold" ] }, { "page": "print.gev_fit", "title": "Print Method for GEV Fit Objects", "topics": [ "print.gev_fit" ] }, { "page": "return_period", "title": "Return Periods and Return Levels", "topics": [ "return_period" ] }, { "page": "rgev_sim", "title": "Simulate GEV Random Variates", "topics": [ "rgev_sim" ] }, { "page": "rolling_trend", "title": "Rolling-Window Trend Analysis", "topics": [ "rolling_trend" ] }, { "page": "seasonal_decompose_climate", "title": "Seasonal Climate Decomposition", "topics": [ "seasonal_decompose_climate" ] }, { "page": "sens_slope", "title": "Sen's Slope Estimator", "topics": [ "sens_slope" ] }, { "page": "spatial_anomaly", "title": "Spatial Climate Anomaly Field", "topics": [ "spatial_anomaly" ] }, { "page": "spatial_interpolate", "title": "Spatial Interpolation for Climate Data", "topics": [ "spatial_interpolate" ] }, { "page": "spatial_trend_field", "title": "Spatial Field of Climate Trends", "topics": [ "spatial_trend_field" ] }, { "page": "spei", "title": "Standardised Precipitation-Evapotranspiration Index (SPEI)", "topics": [ "spei" ] }, { "page": "spi", "title": "Standardised Precipitation Index (SPI)", "topics": [ "spi" ] }, { "page": "standardize_climate", "title": "Standardise a Climate Variable", "topics": [ "standardize_climate" ] }, { "page": "temporal_homogeneity", "title": "Standard Normal Homogeneity Test (SNHT)", "topics": [ "temporal_homogeneity" ] }, { "page": "trend_significance", "title": "Multiple-Station Trend Significance with FDR/Bonferroni Correction", "topics": [ "trend_significance" ] }, { "page": "wind_chill", "title": "Wind Chill Temperature", "topics": [ "wind_chill" ] } ], "_readme": 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"Climate Zone Classification — cluster_climate_zones()", "Elevation Lapse Rate — elevation_lapse_rate()", "Extreme Event Analysis", "GEV Distribution — fit_gev() and rgev_sim()", "Return Levels — return_period()", "Peaks-Over-Threshold — peaks_over_threshold()", "Heat Wave Detection — heat_wave_detection()", "Cold Spell Detection — cold_spell_detection()", "Drought Spell Detection — drought_spell()", "Hill Tail-Index Estimator — extreme_value_index()", "Climate Indices", "Standardised Precipitation Index — spi()", "SPEI — spei()", "Simplified PDSI — pdsi_simple()", "Heat Index — heat_index()", "Wind Chill — wind_chill()", "Frost Days — frost_days()", "Growing Degree Days — growing_degree_days()", "Diurnal Temperature Range — diurnal_temp_range()", "Detection and Attribution", "Signal Detection — detection_attribution()", "EOF Fingerprint Analysis — fingerprint_analysis()", "Optimal Fingerprint Regression — optimal_fingerprint()", "Data Quality and Utilities", "Gap Filling — fill_gaps_climate()", "Homogenisation — homogenize_series()", "Temporal Aggregation — aggregate_climate()", "Anomaly Calculation — anomaly_baseline()", "Standardisation — standardize_climate()", "Comprehensive Summary — climate_summary()", "References" ], "created": "2026-06-18 17:35:46", "modified": "2026-06-18 17:35:46", "commits": 1 } ], "_score": 2.6989700043360187, "_indexed": true, "_nocasepkg": "climatestatsr", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.2", "date": "2026-06-18T19:38:12.000Z", "distro": "noble", "commit": "84bfc86c036f23f11a3e7468bf641909562a99fd", "fileid": "f85639aaebd63eaf961116bdebc57660cbcae407c22113ea43e5f25b18a3ce4e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/27784360957" }, { "r": "4.6.0", "os": "linux", "version": "0.1.2", "date": "2026-06-18T19:38:07.000Z", "distro": "noble", "commit": "84bfc86c036f23f11a3e7468bf641909562a99fd", "fileid": 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