Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
All

Data Type

Packages
Functions
Images
Data set

Classification

Results 1 - 6 of 6 found.
[1] < 1 > [1]  Sort:

find.cor.mat.star (Package: PoisBinOrdNonNor) :

This function calculates an intermediate correlation matrix for a chosen number of Poisson, binary, ordinal, and continuous (via Fleishman polynomials) random variables, with specified target correlations and marginal properties.
● Data Source: CranContrib
● Keywords:
● Alias: find.cor.mat.star
● 0 images

genPBONN (Package: PoisBinOrdNonNor) :

This function generates a chosen number of Poisson, binary, ordinal, and continuous (via Fleishman polynomials) random variables, with specified correlations and marginal properties.
● Data Source: CranContrib
● Keywords:
● Alias: genPBONN
● 0 images

check.params (Package: PoisBinOrdNonNor) :

This function validates the lists of marginal parameters for the chosen number of Poisson, ordinal (and binary), and continuous (via Fleishman polynomials) random variables. The list for ordinal/binary variables must be cumulative.
● Data Source: CranContrib
● Keywords:
● Alias: check.params
● 0 images

lower.upper.cors (Package: PoisBinOrdNonNor) :

This function calculates the approximate upper and lower correlation bounds for all variable pairs.
● Data Source: CranContrib
● Keywords:
● Alias: lower.upper.cors
● 0 images

validate.cor.mat (Package: PoisBinOrdNonNor) :

This function validates the user-inputted target correlation matrix for the chosen number of Poisson, binary, ordinal, and continuous (via Fleishman polynomials) random variables.
● Data Source: CranContrib
● Keywords:
● Alias: validate.cor.mat
● 0 images

PoisBinOrdNonNor-package (Package: PoisBinOrdNonNor) :

Simultaneous generation of a chosen number of count, binary, ordinal, and continuous random variables, with specified correlations and marginal distributions. Throughout the package, the word 'Poisson' is used to imply count data under the assumption of Poisson distribution; and continuous variables can take any shape allowed by Fleishman polynomials.
● Data Source: CranContrib
● Keywords:
● Alias: PoisBinOrdNonNor, PoisBinOrdNonNor-package
● 0 images