Examples: visualization, C++, networks, data cleaning, html widgets, ropensci.

Found 552 packages in 0.06 seconds

simest — by Arun Kumar Kuchibhotla, 8 years ago

Constrained Single Index Model Estimation

Estimation of function and index vector in single index model with and without shape constraints including different smoothness conditions.

OOI — by Elad Guttman, 5 years ago

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.)

seliNDRIx — by Raja TV, 2 months ago

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) .

DER — by Michail Tsagris, a month ago

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. . The index may be computed for a single or for a range of values of the alpha-parameter. Bootstrapping is also available.

hpiR — by Andy Krause, 5 years ago

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) . The package author's working paper on the random forest approach to house price indexes can be found at: < http://www.github.com/andykrause/hpi_research>.

SQI — by Dr. Owais Ali Wani, 2 years ago

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) .

IndexNumberTools — by Miguel Serrano, 4 months ago

Working with Index Numbers

A set of utilities for manipulating index numbers series including chain-linking, re-referencing, and computing growth rates.

STI — by Marc Fasel, 10 years ago

Calculation of the Standardized Temperature Index

A set of functions for computing the Standardized Temperature Index (STI).

catsim — by Geoffrey Thompson, 9 months ago

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) .

IndexConstruction — by Simon Trimborn, 5 years ago

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) .