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Hello Divya. In univariate data simulation there are huge number of theoretical distributions. However, these can be simulated using the R functions that are available without additional package. You can consider this example: the function ‘rnorm’ develops random deviates from normal distribution, given to standard and mean deviation.raghav

I don’t know much about univariate data simulation. But I can help you with multivariate data simulation. In multivariate simulation technique we use ‘mvrnorm’ function from ‘MASS’ package to develop multivariate normal deviates, given correlations and means among the variables. This function can be used for a variety of data structures, including simulating components, simulating multicollinear predictor variables in a regression-style model, simulating canonical correlations, etc.

Check out these websites for the codes https://stat.ethz.ch/R-manual/R-devel/library/MASS/html/mvrnorm.htmlhttps://little-book-of-r-for-multivariate-analysis.readthedocs.io/en/latest/src/multivariateanalysis.html

Sure Kriya. Thank you for the links.