datagen: Generate multivariate correlated data
In psBayesborrow: Bayesian Information Borrowing with Propensity Score Matching
datagen R Documentation
Generate multivariate correlated data
Description
Multivariate correlated data are generated. Gaussian copula is used to
specify the correlation between variables. Any probability distributions
available in R STAT is applicable.
Usage
datagen(margdist, corvec, nsim)
Arguments
margdist
List of distributions to be used for the data generation.
corvec
Vector of Gaussian copula correlation parameter.
nsim
Number of simulation.
Value
Data drawn from a multivariate distribution specified.
psBayesborrow documentation built on June 25, 2024, 1:15 a.m.
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| datagen | R Documentation |
Generate multivariate correlated data
Description
Multivariate correlated data are generated. Gaussian copula is used to specify the correlation between variables. Any probability distributions available in R STAT is applicable.
Usage
datagen(margdist, corvec, nsim)
Arguments
margdist |
List of distributions to be used for the data generation. |
corvec |
Vector of Gaussian copula correlation parameter. |
nsim |
Number of simulation. |
Value
Data drawn from a multivariate distribution specified.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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