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Fast methods for multivariate normal distributions

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mfasiolo/mvnfast

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mvnfast: fast multivariate normal and Student's t distributions

Themvnfast R package provides computationally efficient tools related to the multivariate normal and Student's t distributions. The tools are generally faster than those provided by other packages, thanks to the use of C++ code through theRcpp\RcppArmadillo packages and parallelization through theOpenMP API. The most important functions are:

  • rmvn(): simulates multivariate normal random vectors.
  • rmvt(): simulates Student's t normal random vectors.
  • dmvn(): evaluates the probability density function of a multivariate normal distribution.
  • dmvt(): evaluates the probability density function of a multivariate Student's t distribution.
  • maha(): evaluates mahalanobis distances.

See thevignette for an introduction to mvnfast and some performance benchmarking.

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