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Psychophysics with R: The R Package MixedPsy

2022
Abstract Psychophysical methods are widely used in neuroscience to investigate the quantitative relation between a physical property of the world and its perceptual representation provided by the senses. Recent studies introduced the Generalized Linear Mixed Model (GLMM) to fit the responses of multiple participants ...
Priscilla Balestrucci   +2 more
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An R package for EPANET simulations

Environmental Modelling & Software, 2018
Abstract The EPANET software for modeling piping networks is widely used for the design and analysis of water systems. This short communication describes epanet2toolkit, a package for accessing the EPANET simulation engine and application programming interface from the R environment for computing and graphics.
Ernesto Arandia, Bradley J. Eck
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AZCAST R package

2022
A consolidated package for my templates used in the College of Applied Science and Technology at the University of Arizona.
openaire   +1 more source

R package RobGARCHBoot

SSRN Electronic Journal, 2019
This package provides a robust bootstrap procedure to obtain forecast densities for both return and volatilities in a GARCH context. The forecast densities are useful to obtain forecast intervals as well as to estimate risk measures such as Value-at-Risk (VaR). Additionally, we also provide the robust GARCH estimator of Boudt et al.
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R Scripts and R Packages

2023
Kamarul Imran Musa   +2 more
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CTT Package in R

Measurement: Interdisciplinary Research and Perspectives, 2019
ABSTRACTClassical approach to test theory has been the foundation for educational and psychological measurement for over 90 years.
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Psychometric Packages in R

Measurement: Interdisciplinary Research and Perspectives, 2019
The R software provides packages and functions that provide data analysis in classical true score, generalizability theory, item response theory, and Rasch measurement theories.
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pRRophetic R package

2017
The pRRophetic R package, which can be used to predict drug response from patient tumor gene expression data, using models derived from cancer cell lines.
openaire   +1 more source

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