LogisticNormal: The (Multivariate) Logistic Normal Distribution

In brms: Bayesian Regression Models using 'Stan'

The (Multivariate) Logistic Normal Distribution

Description

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

Usage

dlogistic_normal(x, mu, Sigma, refcat = 1, log = FALSE, check = FALSE)

rlogistic_normal(n, mu, Sigma, refcat = 1, check = FALSE)

Arguments

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.
refcat	A single integer indicating the reference category. Defaults to 1.
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 draws to sample from the distribution.

brms documentation built on Sept. 26, 2023, 1:08 a.m.