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Constrained Single Index Model Estimation
Estimation of function and index vector in single index model with and without shape constraints including different smoothness conditions.
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)
Income Polarization Index
The DER (or PaF) income polarization index as proposed by Duclos J. Y., Esteban, J. and Ray D. (2004). "Polarization: concepts, measurement, estimation". Econometrica, 72(6): 1737--1772.
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)
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)
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).
Binary and Categorical Image Similarity Index
Computes a structural similarity metric (after the style of
MS-SSIM for images) for binary and categorical 2D and 3D images. Can be
based on accuracy (simple matching), Cohen's kappa, Rand index, adjusted
Rand index, Jaccard index, Dice index, normalized mutual information, or
adjusted mutual information. In addition, has fast computation
of Cohen's kappa, the Rand indices, and the two mutual informations.
Implements the methods of Thompson and Maitra (2020)
Index Construction for Time Series Data
Derivation of indexes for benchmarking purposes. A methodology with flexible number of constituents is implemented. Also functions for market capitalization and volume weighted indexes with fixed number of constituents are available. The main function of the package, indexComp(), provides the derived index, suitable for analysis purposes. The functions indexUpdate(), indexMemberSelection() and indexMembersUpdate() are components of indexComp() and enable one to construct and continuously update an index, e.g. for display on a website. The methodology behind the functions provided gets introduced in Trimborn and Haerdle (2018)