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CorrToolBox (version 1.6.4)

Modeling Correlational Magnitude Transformations in Discretization Contexts

Description

Modeling the correlation transitions under specified distributional assumptions within the realm of discretization in the context of the latency and threshold concepts. The details of the method are explained in Demirtas, H. and Vardar-Acar, C. (2017) .

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Version

Install

install.packages('CorrToolBox')

Monthly Downloads

220

Version

1.6.4

License

GPL-2 | GPL-3

Maintainer

Ran Gao

Last Published

February 21st, 2022

Functions in CorrToolBox (1.6.4)

corrZ2phi

Computation of the Phi Coefficient from the Correlation of Bivariate Standard Normal Variables
bs2pbs

Computation of the Point-Biserial Correlation from the Biserial Correlation
CorrToolBox-package

Modeling Correlational Magnitude Transformations in Discretization Contexts
ps2pps

Computation of the Point-Polyserial Correlation from the Polyserial Correlation
ophi2poly

Computation of the Polychoric Correlation from the Ordinal Phi Coefficient
ordY

Ordinalization of a Continuous Variable
phi2tet

Computation of the Tetrachoric Correlation from the Phi Coefficient
pbs2bs

Computation of the Biserial Correlation from the Point-Biserial Correlation
tet2phi

Computation of the Phi Coefficient from the Tetrachoric Correlation
poly2ophi

Computation of the Ordinal Phi Coefficient from the Polychoric Correlation
mps2cps

Computation of Cumulative Probabilities Given a Set of Marginal Probabilities
pps2ps

Computation of the Polyserial Correlation from the Point-Polyserial Correlation
ophi2corrZ

Computation of the Correlation of Bivariate Standard Normal Variables from the Ordinal Phi Coefficient
corrY2corrZ

Computation of the Correlation of Bivariate Standard Normal Variables from the Correlation of Bivariate Nonnormal Variables
corrZ2corrY

Computation of the Correlation of Bivariate Nonnormal Variables from the Correlation of Bivariate Standard Normal Variables
corrZ2ophi

Computation of the Ordinal Phi Coefficient from the Correlation of Bivariate Standard Normal Variables