Description Usage Arguments Details
[Zl|-]: sample one at a time
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | fn.compute.sigma2(Z, a0, b0)
fn.compute.Z2(sigma2, a0, b0)
fn.compute.Z(sigma2, a0, b0)
fn.hat(Xl, betal)
fn.logLike.zl(zl, zminus, yl, fitsl, condsd, condMeanMult)
fn.proposal.zl(zlCur, step = 1)
fn.logpdf.proposal.Z(zlProp, zlCur, step)
fn.sample.Zl(zlCur, zminus, yl, fitsl, condsd, condMeanMult, step = 1)
fn.one.rep.Z(Zcur, y, X, betalMat, rho, step = rep(1, length(Zcur)))
 | 
| Z, sigma2 | desc | 
| a0, b0 | desc | 
| Xl, bl | desc | 
| zl, zlCur, zlProp | desc | 
| zminus,  | desc | 
| yl,  | desc | 
| fitsl,  | desc | 
| condsd,  | desc | 
| condMeanMult | desc | 
| step | desc | 
function to compute simga2_is from a z vector (or a single z) from nGroups dimensional Normal distribution with marginal means 0 and vars 1
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