Generate continuous (normal or non-normal), binary, ordinal, and count (Poisson or Negative
Binomial) variables with a specified correlation matrix. It can also produce a single continuous
variable. This package can be used to simulate data sets that mimic real-world situations (i.e.
clinical or genetic data sets, plasmodes). All variables are generated from standard normal
variables with an imposed intermediate correlation matrix. Continuous variables are simulated
by specifying mean, variance, skewness, standardized kurtosis, and fifth and sixth standardized
cumulants using either Fleishman's third-order (
|Author||Allison Cynthia Fialkowski|
|Date of publication||2018-06-28 17:37:55 UTC|
|Maintainer||Allison Cynthia Fialkowski <[email protected]>|
|Package repository||View on CRAN|
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