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SimJoint
View on CRAN: Click
here
Download and install SimJoint package within the R console
Install from CRAN:
install.packages("SimJoint")
Install from Github:
library("remotes")
install_github("cran/SimJoint") Install by package version:
library("remotes")
install_version("SimJoint", "0.3.12") Attach the package and use:
library("SimJoint")
Maintained by
Charlie Wusuo Liu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-13
Latest Update: 2024-01-14
Description:
Simulate multivariate correlated data given nonparametric marginals and their joint structure characterized by a Pearson or Spearman correlation matrix. The simulator engages the problem from a purely computational perspective. It assumes no statistical models such as copulas or parametric distributions, and can approximate the target correlations regardless of theoretical feasibility. The algorithm integrates and advances the Iman-Conover (1982) approach <doi:10.1080/03610918208812265> and the Ruscio-Kaczetow iteration (2008) <doi:10.1080/00273170802285693>. Package functions are carefully implemented in C++ for squeezing computing speed, suitable for large input in a manycore environment. Precision of the approximation and computing speed both substantially outperform various CRAN packages to date. Benchmarks are detailed in function examples. A simple heuristic algorithm is additionally designed to optimize the joint distribution in the post-simulation stage. The heuristic demonstrated good potential of achieving the same level of precision of approximation without the enhanced Iman-Conover-Ruscio-Kaczetow. The package contains a copy of Permuted Congruential Generator.
How to cite:
Charlie Wusuo Liu (2019). SimJoint: Simulate Joint Distribution. R package version 0.3.12, https://cran.r-project.org/web/packages/SimJoint. Accessed 06 Mar. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for SimJoint
Functions, R codes and Examples using
the SimJoint R package
Some associated functions: LHSpmf . SJpearson . SJpearsonPMF . SJspearman . SJspearmanPMF . decor . exportRandomState . postSimOpt . xSJpearson . xSJpearsonPMF .
Some associated R codes: RcppExports.R . Full SimJoint package functions and examples
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