loglikSimpleR: computing the loglikelihood for the model in loglikSetup...
In JonasWallin/PolyMixed:
loglikSimpleR R Documentation
computing the loglikelihood for the model in loglikSetup function
Description
@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 restricted (bool) use restricted maximum likelihood
@param Xu - (k x 1) covariates supplied (optional)
@param BIC - (bool) caculate BIC adjusted
Usage
loglikSimpleR(theta, likObj, restricted = T, Xu = NULL, BIC = F)
JonasWallin/PolyMixed documentation built on April 8, 2023, 4:26 p.m.
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| loglikSimpleR | R Documentation |
computing the loglikelihood for the model in loglikSetup function
Description
@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 restricted (bool) use restricted maximum likelihood @param Xu - (k x 1) covariates supplied (optional) @param BIC - (bool) caculate BIC adjusted
Usage
loglikSimpleR(theta, likObj, restricted = T, Xu = NULL, BIC = F)
R Package Documentation
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