brms: MultiNormal – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

MultiNormal

The Multivariate Normal Distribution

Density function and random generation for the multivariate normal distribution with mean vector mu and covariance matrix Sigma.

dmulti_normal(x, mu, Sigma, log = FALSE, check = FALSE)

rmulti_normal(n, mu, Sigma, check = FALSE)

`x`	Vector or matrix of quantiles. If `x` is a matrix, each row is taken to be a quantile.
`mu`	Mean vector with length equal to the number of dimensions.
`Sigma`	Covariance matrix.
`log`	Logical; If `TRUE`, values are returned on the log scale.
`check`	Logical; Indicates whether several input checks should be performed. Defaults to `FALSE` to improve efficiency.
`n`	Number of samples to draw from the distribution.

See the Stan user's manual https://mc-stan.org/documentation/ for details on the parameterization

Bayesian Regression Models using 'Stan'

v2.15.0

GPL-2

Authors

Paul-Christian Bürkner [aut, cre], Jonah Gabry [ctb], Sebastian Weber [ctb], Andrew Johnson [ctb], Martin Modrak [ctb]

Initial release

2021-03-10