BICmixed.R: computing the BIC for the model in loglikSetup function Not...

In JonasWallin/PolyMixed:

computing the BIC for the model in loglikSetup function Not implimented for \sigma_U @param theta (3 x 1) log(\sigma_Y), log(\tau), log(\sigma_U) @param likobj (list) contaning: Yu (n x 1) the data (modifed by U in the SVD(X)) Xu (n x k + 1) the covariates, for \beta (modifed by U in the SVD(X)) H (n x n_c) covariance matrix HHt (n x n) SVDX (list) singular value decomposition of X @param tau_fixed - (bool) assuming that \tau,\sigma are fixed @param Xu - (k x 1) covariates supplied (optional) @param find - (m x 1) number of ocv @param C - (double) if non NULL it is a MBIC

Description

computing the BIC for the model in loglikSetup function Not implimented for \sigma_U @param theta (3 x 1) log(\sigma_Y), log(\tau), log(\sigma_U) @param likobj (list) contaning: Yu (n x 1) the data (modifed by U in the SVD(X)) Xu (n x k + 1) the covariates, for \beta (modifed by U in the SVD(X)) H (n x n_c) covariance matrix HHt (n x n) SVDX (list) singular value decomposition of X @param tau_fixed - (bool) assuming that \tau,\sigma are fixed @param Xu - (k x 1) covariates supplied (optional) @param find - (m x 1) number of ocv @param C - (double) if non NULL it is a MBIC

Usage

BICmixed.R(theta, likObj, tau_fixed = F, Xu = NULL, find = NULL, C = NULL)

JonasWallin/PolyMixed documentation built on April 8, 2023, 4:26 p.m.