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bigsimr  

Fast Generation of High-Dimensional Random Vectors
View on CRAN: Click here


Download and install bigsimr package within the R console
Install from CRAN:
install.packages("bigsimr")

Install from Github:
library("remotes")
install_github("cran/bigsimr")

Install by package version:
library("remotes")
install_version("bigsimr", "0.12.0")



Attach the package and use:
library("bigsimr")
Maintained by
Alex Knudson
[Scholar Profile | Author Map]
First Published: 2021-06-24
Latest Update: 2021-09-11
Description:
Simulate multivariate data with arbitrary marginal distributions. 'bigsimr' is a package for simulating high-dimensional multivariate data with a target correlation and arbitrary marginal distributions via Gaussian copula. It utilizes the Julia package 'Bigsimr.jl' for its core routines.
How to cite:
Alex Knudson (2021). bigsimr: Fast Generation of High-Dimensional Random Vectors. R package version 0.12.0, https://cran.r-project.org/web/packages/bigsimr. Accessed 08 May. 2025.
Previous versions and publish date:
0.11.1 (2021-06-24 13:00), 0.11.2 (2021-09-12 01:50)
Other packages that cited bigsimr R package
View bigsimr citation profile
Other R packages that bigsimr depends, imports, suggests or enhances
Complete documentation for bigsimr
Functions, R codes and Examples using the bigsimr R package
Some associated functions: bigsimr_setup . distributions_setup . 
Some associated R codes: bigsimr.R . distributions.R .  Full bigsimr package functions and examples
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