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SCOR

The goal of SCOR is to solve optimization problem where parameters belong to the surface of unit hyper-sphere

Installation

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("synx21/SCOR")

Example

This package consists function to run SCOR and functions to evaluate EHUM, SHUM and ULBA estimates.

library(SCOR)
optimized_EHUM(rep(1,12),colnames(AL),AL)
#> [1] 0.8403805

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Version

Install

install.packages('SCOR')

Monthly Downloads

131

Version

1.1.2

License

GPL-3

Issues

Pull Requests

Stars

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Maintainer

Debsurya De

Last Published

June 19th, 2023

Functions in SCOR (1.1.2)

estimate_ULBA

Upper And Lower Bound Approach
optimized_HUM

Optimizing Different Estimators Of Hyper Volume Under Manifold
estimate_EHUM

Empirical Hyper Volume Under Manifolds
SCOptim

Spherically Constrained Optimization
YoupointsBoxPlot

Visualization Based On Youden Indices.
AL

Alzheimer's disease neuropsychometric marker dataset
estimate_SHUM

Smooth Approximations Of Empirical Hyper Volume Under Manifolds
youden_points

Finding Youden Indices
SCOR-package

SCOR: Spherically Constrained Optimization Routine