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Fit Probabilistic Index Models
Fit a probabilistic index model as described in
Thas et al, 2012:
The tRNA Adaptation Index
Functions and example files to calculate the tRNA adaptation index,
a measure of the level of co-adaptation between the set of tRNA genes and the
codon usage bias of protein-coding genes in a given genome. The methodology is
described in dos Reis, Wernisch and Savva (2003)
Phenotypic Index Measures for Oak Decline Severity
Oak declines are complex disease syndromes and consist of many visual indicators that include aspects of tree size, crown condition and trunk condition. This can cause difficulty in the manual classification of symptomatic and non-symptomatic trees from what is in reality a broad spectrum of oak tree health condition. Two phenotypic oak decline indexes have been developed to quantitatively describe and differentiate oak decline syndromes in Quercus robur. This package provides a toolkit to generate these decline indexes from phenotypic descriptors using the machine learning algorithm random forest. The methodology for generating these indexes is outlined in Finch et al. (2121)
Transitive Index Numbers for Cross-Sections and Panel Data
Computing transitive (and non-transitive) index numbers (Coelli et al., 2005
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.
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)
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",
Geospatial Grid Indexing with the British National Grid
Offers a streamlined programmatic interface to Ordnance Survey's British National Grid (BNG) index system, enabling efficient spatial indexing and analysis based on grid references. It supports a range of geospatial applications, including statistical aggregation, data visualisation, and interoperability across datasets. Designed for developers and analysts working with geospatial data in Great Britain, 'osbng' simplifies integration with geospatial workflows and provides intuitive tools for exploring the structure and logic of the BNG system.