| .get_B_gee_glm | R Documentation |
Estimates constrained coefficients for non-Gaussian GLMs with correlation
structures using damped Sequential Quadratic Programming (SQP) in the
full P-dimensional whitened space. The whitened design
\mathbf{X}^{*} = \mathbf{V}^{-1/2}\mathbf{X} is required
because \mathbf{V}^{-1/2} couples all partitions.
.get_B_gee_glm(
X_block,
X_tilde,
y_block,
y_tilde,
VhalfInv_perm,
Lambda_block,
A,
K,
p_expansions,
constraint_value_vectors,
family,
return_G_getB,
iterate,
tol,
qp_Amat,
qp_bvec,
qp_meq,
qp_score_function,
order_list,
observation_weights,
glm_weight_function,
schur_correction_function,
need_dispersion_for_estimation,
dispersion_function,
VhalfInv,
parallel_qr = FALSE,
cl = NULL,
...
)
X_block |
Full |
X_tilde |
Whitened design |
y_block |
Unwhitened response vector |
y_tilde |
Whitened response |
VhalfInv_perm |
|
Lambda_block |
Full |
A |
Constraint matrix ( |
K, p_expansions |
Integer dimensions. |
constraint_value_vectors |
Constraint RHS list encoding
|
family |
GLM family object. |
return_G_getB |
Logical; return covariance components. |
iterate |
Logical; if |
tol |
Convergence tolerance. |
qp_Amat, qp_bvec, qp_meq |
QP constraint specification. |
qp_score_function |
Score function for QP step. |
order_list, observation_weights |
Standard partition arguments. |
glm_weight_function |
Function computing GLM working weights. |
schur_correction_function |
Function computing Schur corrections. |
need_dispersion_for_estimation |
Logical. |
dispersion_function |
Dispersion estimation function. |
VhalfInv |
Inverse square root correlation matrix. |
... |
Passed to weight, correction, dispersion, and score functions. |
Same structure as .get_B_gee_gaussian.
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