mongrel-deprecated: mongrel

In jsilve24/mongrel: Bayesian Multinomial Logistic Normal Regression

Description

This function is deprecated, please use pibble instead.

Usage

mongrel(Y = NULL, X = NULL, upsilon = NULL, Theta = NULL,
  Gamma = NULL, Xi = NULL, init = NULL, pars = c("Eta", "Lambda",
  "Sigma"), ...)

Arguments

Y	D x N matrix of counts (if NULL uses priors only)
X	Q x N matrix of covariates (design matrix) (if NULL uses priors only, must be present to sample Eta)
upsilon	dof for inverse wishart prior (numeric must be > D) (default: D+3)
Theta	(D-1) x Q matrix of prior mean for regression parameters (default: matrix(0, D-1, Q))
Gamma	QxQ prior covariance matrix (default: diag(Q))
Xi	(D-1)x(D-1) prior covariance matrix (default: ALR transform of diag(1)*(upsilon-D)/2 - this is essentially iid on "base scale" using Aitchison terminology)
init	(D-1) x Q initialization for Eta for optimization
pars	character vector of posterior parameters to return
...	arguments passed to optimPibbleCollapsed and uncollapsePibble

jsilve24/mongrel documentation built on Jan. 27, 2022, 9:54 p.m.