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Homogeneity and Sparsity Detection Incorporating Prior Constraint Information
We explore sparsity and homogeneity of regression coefficients incorporating prior constraint information. A general pairwise fusion approach is proposed to deal with the sparsity and homogeneity detection when combining prior convex constraints. We develop an modified alternating direction method of multipliers algorithm (ADMM) to obtain the estimators.
Software Citation Tools
A collection of functions to extract citation information from 'R' packages and to deal with files in 'citation file format' (< https://citation-file-format.github.io/>), extending the functionality already provided by the citation() function in the 'utils' package.
Standardized Climate Indices Such as SPI, SRI or SPEI
Functions for generating Standardized Climate Indices (SCI). Functions for generating Standardized Climate Indices (SCI). SCI is a transformation of (smoothed) climate (or environmental) time series that removes seasonality and forces the data to take values of the standard normal distribution. SCI was originally developed for precipitation. In this case it is known as the Standardized Precipitation Index (SPI).
Spatial Functions for Heterogeneity and Climate Variability
A comprehensive suite of spatial functions created to analyze and assess data heterogeneity and climate variability in spatial datasets. This package is specifically designed to address the challenges associated with characterizing and understanding complex spatial patterns in environmental and climate-related data.
Climatic Indices for Agriculture
Collection of functions to compute agroclimatic indices useful to zoning areas based on climatic variables and to evaluate the importance of temperature and precipitation for individual crops, or in general for agricultural lands.
Iberian Actuarial Climate Index Calculations
Calculates the Iberian Actuarial Climate Index and its components—including temperature, precipitation, wind power, and sea level data—to support climate change analysis and risk assessment. See "Zhou et al." (2023)
Ordered Homogeneity Pursuit Lasso for Group Variable Selection
Ordered homogeneity pursuit lasso (OHPL)
algorithm for group variable selection proposed in Lin et al. (2017)
Test the Homogeneity of Kappa Statistics
Tests the homogeneity of intraclass kappa statistics obtained from independent studies or a stratified study with binary results. It is desired to compare the kappa statistics obtained in multi-center studies or in a single stratified study to give a common or summary kappa using all available information. If the homogeneity test of these kappa statistics is not rejected, then it is possible to make inferences over a single kappa statistic that summarizes all the studies. Muammer Albayrak, Kemal Turhan, Yasemin Yavuz, Zeliha Aydin Kasap (2019)
Simulation of Sediment Archived Climate Proxy Records
Proxy forward modelling for sediment archived climate proxies such
as Mg/Ca, d18O or Alkenones. The user provides a hypothesised "true" past climate,
such as output from a climate model, and details of the sedimentation rate and
sampling scheme of a sediment core. Sedproxy returns simulated proxy records.
Implements the methods described in Dolman and Laepple (2018)
Analyze biotic homogenization of landscapes
Tools for assessing exotic species' contributions to landscape homogeneity using average pairwise Jaccard similarity and an analytical approximation derived in Harris et al. (2011, "Occupancy is nine-tenths of the law," The American Naturalist). Also includes a randomization method for assessing sources of model error.