Package: climatestatsr 0.1.2

Sadikul Islam

climatestatsr: Statistical Tools for Climate Change Analysis

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.

Authors:Sadikul Islam [aut, cre], Rajesh Kaushal [aut]

climatestatsr_0.1.2.tar.gz
climatestatsr_0.1.2.tar.gz(r-4.7-any)climatestatsr_0.1.2.tar.gz(r-4.6-any)
climatestatsr_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
climatestatsr/json (API)
NEWS

# Install 'climatestatsr' in R:
install.packages('climatestatsr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 40 exports 0 dependencies

Last updated from:84bfc86c03. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK131
source / vignettesOK173
linux-release-x86_64OK126
wasm-releaseOK102

Exports:aggregate_climateanomaly_baselineautocorrelation_climatechange_point_detectionclimate_summarycluster_climate_zonescold_spell_detectiondetection_attributiondiurnal_temp_rangedrought_spellelevation_lapse_rateextreme_value_indexfill_gaps_climatefingerprint_analysisfit_gevfrost_daysgrowing_degree_daysheat_indexheat_wave_detectionhomogenize_serieshot_cold_spotsmk_testmorans_ioptimal_fingerprintpdsi_simplepeaks_over_thresholdreturn_periodrgev_simrolling_trendseasonal_decompose_climatesens_slopespatial_anomalyspatial_interpolatespatial_trend_fieldspeispistandardize_climatetemporal_homogeneitytrend_significancewind_chill

Dependencies:

climatestatsr: A Comprehensive Guide to Statistical Tools for Climate Change Analysis

Sadikul Islam

Rendered fromclimatestatsr.Rmdusingknitr::rmarkdownon Jun 18 2026.

Last update: 2026-06-18
Started: 2026-06-18

Readme and manuals

Help Manual

Help pageTopics
Statistical Tools for Climate Change Analysisclimatestatsr-package climatestatsr
Aggregate Climate Data to Coarser Time Stepsaggregate_climate
Climate Anomaly Relative to a Baseline Periodanomaly_baseline
Autocorrelation Analysis for Climate Seriesautocorrelation_climate
Change-Point Detection for Climate Serieschange_point_detection
Comprehensive Climate Series Summaryclimate_summary
S3 Methods for '"climate_test"' Objectsplot.climate_test print.climate_test summary.climate_test
K-Means Climate Zone Classificationcluster_climate_zones
Cold Spell Detectioncold_spell_detection
Climate Change Detection and Attribution Testdetection_attribution
Diurnal Temperature Rangediurnal_temp_range
Drought Spell Detection from Standardised Indicesdrought_spell
Environmental Lapse Rate Estimationelevation_lapse_rate
Extreme Value Index (Hill Estimator)extreme_value_index
Gap-Filling for Climate Seriesfill_gaps_climate
EOF-Based Spatial Fingerprint Analysisfingerprint_analysis
Fit Generalised Extreme Value Distributionfit_gev
Frost Day Countfrost_days
Growing Degree Daysgrowing_degree_days
Heat Index (Apparent Temperature)heat_index
Heat Wave Detectionheat_wave_detection
Homogenise a Climate Series Using SNHThomogenize_series
Local Spatial Hot-Spot and Cold-Spot Detection (Getis-Ord Gi*)hot_cold_spots
Mann-Kendall Trend Testmk_test
Moran's I Test for Spatial Autocorrelationmorans_i
Optimal Fingerprint Regressionoptimal_fingerprint
Simplified Palmer Drought Severity Indexpdsi_simple
Peaks-Over-Threshold Analysispeaks_over_threshold
Print Method for GEV Fit Objectsprint.gev_fit
Return Periods and Return Levelsreturn_period
Simulate GEV Random Variatesrgev_sim
Rolling-Window Trend Analysisrolling_trend
Seasonal Climate Decompositionseasonal_decompose_climate
Sen's Slope Estimatorsens_slope
Spatial Climate Anomaly Fieldspatial_anomaly
Spatial Interpolation for Climate Dataspatial_interpolate
Spatial Field of Climate Trendsspatial_trend_field
Standardised Precipitation-Evapotranspiration Index (SPEI)spei
Standardised Precipitation Index (SPI)spi
Standardise a Climate Variablestandardize_climate
Standard Normal Homogeneity Test (SNHT)temporal_homogeneity
Multiple-Station Trend Significance with FDR/Bonferroni Correctiontrend_significance
Wind Chill Temperaturewind_chill