postLambdai {skipTrack} | R Documentation |
Compute random draw from full conditional posterior for lambda_i in Li algorithm.
Description
This function calculates a random draw from the full conditional posterior distribution for lambda_i in the Li algorithm, given the observed values y_ij, the indicators s_ij, and the prior hyperparameters priorK and priorG.
Usage
postLambdai(yij, sij, priorK, priorG)
Arguments
yij |
Vector of observed values for individual i. |
sij |
Vector of cycle skip indicators for individual i. |
priorK |
Prior hyperparameter kappa. |
priorG |
Prior hyperparameter gamma. |
Value
A random draw from the posterior distribution of lambda_i.
[Package skipTrack version 0.1.0 Index]