computeGamma1r | R Documentation |
Computes one-step ML estimator of fully restricted model
(coefs of transformed regressors of \bar{Z}_1
)
in walsNB by using SVD on transformed design matrix of the focus regressors
\bar{Z}_1
. The matrix \bar{Z_1}
should have full column rank.
computeGamma1r(
U,
V,
singularVals,
ellStart,
gStart,
epsilonStart,
qStart,
y0Start,
tStart,
psiStart
)
U |
Left singular vectors of |
V |
Right singular vectors of |
singularVals |
Singular values of |
ellStart |
Vector |
gStart |
Derivative of dispersion parameter |
epsilonStart |
Scalar |
qStart |
Vector |
y0Start |
Vector |
tStart |
Scalar |
psiStart |
Diagonal matrix |
See section "Simplification for computing \tilde{\gamma}_{1r}
"
in the appendix of \insertCitehuynhwals;textualWALS for details of the
implementation and for the definitions of argument ellStart
.
All parameters that contain "start" feature the starting values for the one-step ML estimation of submodels. See section "One-step ML estimator" of \insertCitehuynhwalsnb;textualWALS for details.
Uses svdLSplus
under-the-hood.
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