get.g.sweep

an object of class <code>ESS</code>.

a matrix of boolean values indicating at which sweeps of
 the MCMC run the model has been visited. This matrix is the
 output of <code><a rd-options="" href="/link/get.sweep.best.model?package=R2GUESS&version=2.0" data-mini-rdoc="R2GUESS::get.sweep.best.model">get.sweep.best.model</a></code>.

integer specifying the rank (according to the model posterior
 probability) of the model under investigation.

model

Internal function used for the generation of the
 regression coefficients beta. <code>get.g.sweep</code> extracts the values
 of the shrinkage factor <code>g</code> associated with the sweeps at which a
 given model has been visited. The model under investigation is
 defined by its rank in terms of posterior probability.

Wrapper functions for GUESS, a GPU-accelerated
sparse Bayesian variable selection method for linear regression based
analysis of multivariate, correlated outcomes.

Gianluca Campanella

R2GUESS

Wrapper Functions for GUESS

Beno<c3><ae>t Liquet

Marc Chadeau-Hyam

Leonardo Bottolo

Sylvia Richardson

get.g.sweep function

a matrix of boolean values indicating at which sweeps of
 the MCMC run the model has been visited. This matrix is the
 output of <code><a rd-options='' href='get.sweep.best.model'>get.sweep.best.model</a></code>.

Internal function used to generate the regression
  coefficients. This function extracts the values of the shrinkage
  factor g for a given model specified by its ranked posterior probability — get.g.sweep

Internal function used to generate the regression
  coefficients. This function extracts the values of the shrinkage
  factor g for a given model specified by its ranked posterior probability

get.g.sweep: Internal function used to generate the regression coefficients. This function extracts the values of the shrinkage factor g for a given model specified by its ranked posterior probability

Description

Usage

Arguments

Value

See Also