lpd_B | R Documentation |
Function to compute the log full conditional density of B
lpd_B( A, X1C_ctr, Yctr, L, dx, pd, etaC, X1D_ctr_etaD.t, X2_ctr_beta2, Phi.inv, Phi0.inv, beta2.shifted, M.half, B0, KB.half.inv, SigmaB.half.inv )
A |
Parameter B from previous iteration. |
X1C_ctr |
Centered X1C. |
Yctr |
Centered Y. |
L |
Updated L. |
dx |
dx |
pd |
pd |
etaC |
Updated etaC in this iteration. |
X1D_ctr_etaD.t |
A inner variable. |
X2_ctr_beta2 |
A inner variable. |
Phi.inv |
Inverse of the updated Phi in this iteration. |
Phi0.inv |
Inverse of the updated Phi0 in this iteration. |
beta2.shifted |
A inner variable. |
M.half |
Square root of M. |
B0 |
B0 |
KB.half.inv |
The (-1/2)-th power of KB. |
SigmaB.half.inv |
The (-1/2)-th power of SigmaB. |
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