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Half-Weight Index Gregariousness
The half-weight index gregariousness (HWIG) is an association
index used in social network analyses. It extends the half-weight
association index (HWI), correcting for level of gregariousness
in individuals. It is calculated using group by individual
data according to methods described in Godde et al. (2013)
The Bimodality Index
Defines the functions used to compute the
bimodal index as defined by Wang et al. (2009)
< https://pmc.ncbi.nlm.nih.gov/articles/PMC2730180/>,
Outside Option Index
Calculates the Outside Option Index proposed by Caldwell and Danieli (2018) < https://drive.google.com/file/d/1j-uwD19S4gqgXIXeYch9jGBCaDhWZlRQ/view>. This index uses the cross- sectional concentration of similar workers across job types to quantify the availability of outside options as a function of workers’ characteristics (e.g. commuting costs, preferences, and skills.)
Construction of Selection Index
Selection index is one of the efficient and acurrate method for selection of animals. This package is useful for construction of selection indices.
It uses mixed and random model least squares analysis to estimate the heritability of
traits and genetic correlation between traits. The package uses the sire model as it is considered as
random effect. The genetic and phenotypic (co)variances along with the relative economic values are
used to construct the selection index for any number of traits. It also estimates the accuracy of the
index and the genetic gain expected for different traits. Fisher (1936)
Calculate AZTI’s Marine Biotic Index
Calculate AZTI’s Marine Biotic Index - AMBI. The included list of
benthic fauna species according to their sensitivity
to pollution. Matching species in sample data to the list allows the
calculation of fractions of individuals in the different sensitivity
categories and thereafter the AMBI index. The Shannon Diversity Index H'
and the Danish benthic fauna quality index DKI (Dansk Kvalitetsindeks) can
also be calculated, as well as the multivariate M-AMBI index.
Borja, A., Franco, J. ,Pérez, V. (2000) "A marine biotic index to
establish the ecological quality of soft bottom benthos within European
estuarine and coastal environments"
Soil Quality Index
The overall performance of soil ecosystem services and productivity greatly relies on soil health, making it a crucial indicator. The evaluation of soil physical, chemical, and biological parameters is necessary to determine the overall soil quality index. In our package, three commonly used methods, including linear scoring, regression-based, and principal component-based soil quality indexing, are employed to calculate the soil quality index. This package has been developed using concept of Bastida et al. (2008) and Doran and Parkin (1994)
House Price Indexes
Compute house price indexes and series using a variety of different methods and
models common through the real estate literature. Evaluate index 'goodness' based
on accuracy, volatility and revision statistics. Background on basic model construction
for repeat sales models can be found at: Case and Quigley (1991)
< https://ideas.repec.org/a/tpr/restat/v73y1991i1p50-58.html> and for hedonic pricing models at:
Bourassa et al (2006)
Predictive Information Index ('PII')
A simple implementation of the Predictive Information Index ('PII').
Working with Index Numbers
A set of utilities for manipulating index numbers series including chain-linking, re-referencing, and computing growth rates.
Calculation of the Standardized Temperature Index
A set of functions for computing the Standardized Temperature Index (STI).