lpd_A: Function to compute the log full conditional density of A
In yanbowisc/SIMP: Bayesian Simultaneous Partial Envelope Model

lpd_A

R Documentation

Function to compute the log full conditional density of A

Description

Function to compute the log full conditional density of A

Usage

lpd_A(
  A,
  X1C_ctr,
  X1C_ctr_shifted,
  Yctr,
  etaC,
  R,
  dy,
  pd,
  X1D_ctr_etaD.t,
  X2_ctr_beta2,
  Omega.inv,
  Omega0.inv,
  SigmaYX.inv,
  gamma_shifted,
  Lambda.half,
  A0,
  KA.half.inv,
  SigmaA.half.inv
)

Arguments

`A`	Parameter A from previous iteration.
`X1C_ctr`	Centered X1C.
`X1C_ctr_shifted`	A inner variable.
`Yctr`	Centered Y.
`etaC`	Updated etaC in this iteration.
`R`	R from previous iteration.
`dy`	dy.
`pd`	pd.
`X1D_ctr_etaD.t`	A inner variable.
`X2_ctr_beta2`	A inner variable.
`Omega.inv`	Inverse of the updated Omega in this iteration.
`Omega0.inv`	Inverse of the updated Omega0 in this iteration.
`SigmaYX.inv`	Inverse of the updated SigmaYX in this iteration.
`gamma_shifted`	A inner variable.
`Lambda.half`	Inverse of Lambda.
`A0`	A0.
`KA.half.inv`	The (-1/2)-th power of KA.
`SigmaA.half.inv`	The (-1/2)-th power of SigmaA.