| postMui {skipTrack} | R Documentation |
Sample a value from the full conditional posterior of mu_i
Description
In our model the data are drawn from LogN(mu_i + log(c_ij), tau_i). The prior for mu_i is given as N(x_i^T %*% beta, rho). This function draws from the conditional posterior of mu_i.
Usage
postMui(yij, cij, taui, xib, rho)
Arguments
yij |
Numeric vector, cycle lengths for a single individual |
cij |
Positive Integer vector, a sampled vector of length(yij) where the corresponding values in cij indicate a sampled number of TRUE cycles in each cycle length given by yij |
taui |
Numeric > 0, A sampled precision for the yijs |
xib |
Numeric, result of multiplying x_i^T %*% beta (single value, not vector) |
rho |
Numeric > 0, sampled prior precision of mu_i |
Details
Additionally, note that in order to vectorize the remainder of the MCMC algorithm this function returns the sampled value repeated for length(yij)
Value
Numeric vector, repeated sampled value of length(yij)