JMASM16: Pseudo-Random Number Generation In R For Some Univariate Distributions
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May 1, 2005
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Hakan Demirtas
School of Public Health, University of Illinois at Chicago
Abstract
An increasing number of practitioners and applied researchers started using the R programming system in recent years for their computing and data analysis needs. As far as pseudo-random number generation is concerned, the built-in generator in R does not contain some important univariate distributions. In this article, complementary R routines that could potentially be useful for simulation and computation purposes are provided.
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