| postTaui {skipTrack} | R Documentation |
Sample a value from the full conditional posterior of tau_i
Description
In our model the data are drawn from LogN(mu_i + log(c_ij), tau_i). The prior for tau_i is given as Gamma(thetai*phi, phi). This function draws from the conditional posterior of tau_i. Note that we parameterize with RATE, not SCALE.
Usage
postTaui(yij, cij, mui, thetai, phi = 1)
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 |
mui |
Numeric, log of sampled mean of this individual's yijs |
thetai |
Numeric, mean of prior (gamma) distribution on taui |
phi |
Numeric, rate for Taui prior |
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)