BinNonNor-package
(Package: BinNonNor) :
Data Generation with Binary and Continuous Non-Normal Components
Provides R functions for generation of multiple binary and continuous non-normal variables simultaneously given the marginal characteristics and association structure based on the methodology proposed by Demirtas et al. (2012).
● Data Source:
CranContrib
● Keywords: concurrent generation of binary and continuous non-normal variables, generating multivariate binary variables, generating multivariate continuous non-normal variables
● Alias: BinNonNor, BinNonNor-package
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gen.Bin.NonNor
(Package: BinNonNor) :
Simulates a sample of size n from a set of multivariate binary and continuous non-normal variables
This function simulates a sample of size n from a set of multivariate binary and continuous non-normal data with pre-specified marginals and final correlation matrix. Setting n.NN=0 and quantities that are pertinent to the continuous part to NULL results in simulation of a sample of size n from a set of multivariate binary variables. Similarly, setting n.BB=0 and prop.vec=NULL results in simulation of a sample of size n from a set of multivariate continuous non-normal variables.
● Data Source:
CranContrib
● Keywords:
● Alias: gen.Bin.NonNor
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validation.corr
(Package: BinNonNor) :
Validates the specified correlation matrix
This function validates the specified correlation vector and/or matrix for appropriate dimension, symmetry, range, and positive definiteness. If both correlation matrix and correlation vector were supplied, it checks whether the matrix and vector are conformable.
● Data Source:
CranContrib
● Keywords:
● Alias: validation.corr
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validation.skewness.kurtosis
(Package: BinNonNor) :
Validates the marginal specification of the continuous non-normal variables
Checks whether the marginal specification of the continuous non-normal part is valid and consistent.
● Data Source:
CranContrib
● Keywords:
● Alias: validation.skewness.kurtosis
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overall.corr.mat
(Package: BinNonNor) :
Computes the final correlation matrix
This function computes the final correlation matrix by combining tetrachoric correlation for binary-binary combinations, biserial correlations for binary-continuous non-normal combinations, and intermediate correlation matrix for continuous non-normal-continuous non-normal combinations. If the resulting correlation matrix is not positive definite, a nearest positive matrix will be used.
● Data Source:
CranContrib
● Keywords:
● Alias: overall.corr.mat
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validation.bin
(Package: BinNonNor) :
Validates the marginal specification of the binary variables
Checks whether the marginal specification of the binary part is valid and consistent.
● Data Source:
CranContrib
● Keywords:
● Alias: validation.bin
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correlation.limits
(Package: BinNonNor) :
Computes lower and upper correlation bounds for each pair of variables
This function computes lower and upper limits for pairwise correlation of binary-binary, binary-continuous non-normal, and continuous non-normal-continuous non-normal combinations.
● Data Source:
CranContrib
● Keywords:
● Alias: correlation.limits
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fleishman.coef
(Package: BinNonNor) :
Computes the coefficients of Fleishman third order polynomials
Computes the coefficients of Fleishman third order polynomials given the marginal skewness and kurtosis parameters of continuous variables.
● Data Source:
CranContrib
● Keywords:
● Alias: fleishman.coef
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Int.Corr.NN
(Package: BinNonNor) :
Computes an intermediate correlation matrix for continuous non-normal variables given the specified correlation
This function computes the intermediate correlation matrix for continuous non-normal-continuous non-normal combinations as formulated in Demirtas et al. (2012).
● Data Source:
CranContrib
● Keywords:
● Alias: Int.Corr.NN
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Tetra.Corr.BB
(Package: BinNonNor) :
Computes an tetrachoric correlation matrix for binary variables given the specified correlation matrix
This function computes the tetrachoric correlation matrix for binary-binary combinations as formulated in Demirtas et al. (2012).
● Data Source:
CranContrib
● Keywords:
● Alias: Tetra.Corr.BB
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