PoisBinOrdNor-package
(Package: PoisBinOrdNor) :
Data Generation with Count, Binary, Ordinal and Normal Components
Generation of multiple count, binary, ordinal and normal variables simultaneously given the marginal characteristics and association structure based on the methodologies proposed in Demirtas et al. (2012), Demirtas and Yavuz (2015), Amatya and Demirtas (2016), Demirtas and Hedeker (2016).
● Data Source:
CranContrib
● Keywords: concurrent generation of count, binary, ordinal and normal variables, generating multivariate binary variables, generating multivariate count variables, generating multivariate normal variables, generating multivariate ordinal variables
● Alias: PoisBinOrdNor, PoisBinOrdNor-package
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corr.nn4bb
(Package: PoisBinOrdNor) :
Finds the tetrachoric correlation based on user-specified correlation between binary variables.
This function computes the tetrachoric correlation given the correlation for a pair of binary variables (phi coefficient).
● Data Source:
CranContrib
● Keywords:
● Alias: corr.nn4bb
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This function checks the validity of user specified parameters including rate parameters for count variables, proportion parameters for binary and ordinary variables, mean and variance parameters for normal data, as well as the validity of entries in the correlation matrix. This function also computes the lower and upper limits for each pairwise correlation based on the marginal probabilities for range violation checks.
● Data Source:
CranContrib
● Keywords:
● Alias: validation_specs
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corr.nn4bn
(Package: PoisBinOrdNor) :
Finds the biserial correlation given the correlation for a binary-normal pair.
This function computes the biserial correlation given the specified correlation for a pair of binary and normal variables (point-biserial correlation).
● Data Source:
CranContrib
● Keywords:
● Alias: corr.nn4bn
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genPBONdata
(Package: PoisBinOrdNor) :
Generates correlated data with multiple count, binary, ordinal and normal variables
This function simulates a multivariate data set that is composed of count, binary, ordinal and normal variables with specified marginals and a correlation matrix.
● Data Source:
CranContrib
● Keywords:
● Alias: genPBONdata
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intermat
(Package: PoisBinOrdNor) :
Calculates and assembles the intermediate correlation matrix entries for the multivariate normal data.
This function computes and assembles the correlation entries for the intermediate multivariate normal data.
● Data Source:
CranContrib
● Keywords:
● Alias: intermat
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corr.nn4pbo
(Package: PoisBinOrdNor) :
Finds the underlying bivariate normal correlation given the correlation for a count-binary or count-ordinal pair.
This function computes the underlying bivariate normal correlation given the correlation for a pair of count and binary variables or a pair of count and ordinal variables.
● Data Source:
CranContrib
● Keywords:
● Alias: corr.nn4pbo
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corr.nn4pn
(Package: PoisBinOrdNor) :
Finds the underlying bivariate normal correlation given the correlation for a count-normal pair.
This function computes the underlying bivariate normal correlation given the specified correlation for a pair of count and normal variables.
● Data Source:
CranContrib
● Keywords:
● Alias: corr.nn4pn
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corr.nn4on
(Package: PoisBinOrdNor) :
Finds polyserial correlation for given the correlation for an ordinal-normal pair.
This function computes the polyserial correlation given the specified correlation for a pair of ordinal and normal variables (point-polyserial correlation).
● Data Source:
CranContrib
● Keywords:
● Alias: corr.nn4on
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corr.nn4pp
(Package: PoisBinOrdNor) :
Finds the underlying bivariate normal correlation given the correlation for a pair of count variables.
This function computes the underlying bivariate normal correlation given the specified correlation for a pair of count variables.
● Data Source:
CranContrib
● Keywords:
● Alias: corr.nn4pp
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