Diversity Index Calculation & Visualisation for Taxa and Location

Repurpose occurrence data for calculating diversity index values, creating visuals, and generating species composition matrices for a chosen taxon and location.

Transitive Index Numbers for Cross-Sections and Panel Data

Computing transitive (and non-transitive) index numbers (Coelli et al., 2005 ) for cross-sections and panel data. For the calculation of transitive indexes, the EKS (Coelli et al., 2005 ; Rao et al., 2002 ) and Minimum spanning tree (Hill, 2004 ) methods are implemented. Traditional fixed-base and chained indexes, and their growth rates, can also be derived using the Paasche, Laspeyres, Fisher and Tornqvist formulas.

Wavelet-Based Index of Storm Activity

A powerful system for estimating an improved wavelet-based index of magnetic storm activity, storm activity preindex (from individual station) and SQ variations. It also serves as a flexible visualization tool.

Urban Centrality Index

Calculates the Urban Centrality Index (UCI) as in Pereira et al., (2013) . The UCI measures the extent to which the spatial organization of a city or region varies from extreme polycentric to extreme monocentric in a continuous scale from 0 to 1. Values closer to 0 indicate more polycentric patterns and values closer to 1 indicate a more monocentric urban form.

Jaccard Index for Population Structure Identification

Uses the Jaccard similarity index to account for population structure in sequencing studies. This method was specifically designed to detect population stratification based on rare variants, hence it will be especially useful in rare variant analysis.

Wrapper for the Social Progress Index Data

In 2015, The 17 United Nations' Sustainable Development Goals were adopted. 'spiR' is a wrapper of several open datasets published by the Social Progress Imperative (< https://www.socialprogress.org/>), including the Social Progress Index (a synthetic measure of human development across the world). 'spiR''s goal is to provide data to help policymakers and researchers prioritize actions that accelerate social progress across the world in the context of the Sustainable Development Goals. Please cite: Warin, Th. (2019) "spiR: An R Package for the Social Progress Index", .

Regression for Rank-Indexed Compositional Data

Regression model where the response variable is a rank-indexed compositional vector (non-negative values that sum up to one and are ordered from the largest to the smallest). Parameters are estimated in the Bayesian framework using MCMC methods.

Methods for Partial Linear Single Index Model

Estimation, hypothesis tests, and variable selection in partially linear single-index models. Please see H. (2010) at for more details.

Classes and Methods for Lagged Objects

Provides classes and methods for objects, whose indexing naturally starts from zero. Subsetting, indexing and mathematical operations are defined naturally between lagged objects and lagged and base R objects. Recycling is not used, except for singletons. The single bracket operator doesn't drop dimensions by default.

Partial Linear Single Index Models for Environmental Mixture Analysis

Collection of ancillary functions and utilities for Partial Linear Single Index Models for Environmental mixture analyses, which currently provides functions for scalar outcomes. The outputs of these functions include the single index function, single index coefficients, partial linear coefficients, mixture overall effect, exposure main and interaction effects, and differences of quartile effects. In the future, we will add functions for binary, ordinal, Poisson, survival, and longitudinal outcomes, as well as models for time-dependent exposures. See Wang et al (2020) for an overview.