Estimate the dual trajectory model using a Gibbs Sampler
1 2 |
X1: |
Matrix, design matrix for series 1. 1st column should be the id. |
X2: |
Matrix, design matrix for series 2. 1st column should be the id. |
y1: |
Vector, outcomes for series 1 |
y2: |
Vector, outcomes for series 2 |
K1: |
Integer, number of latent classes in series 1 |
K2: |
Integer, number of latent classes in series 2 |
z1: |
Matrix, K1 x dim(X1)[2] indicator matrix indicating which variables to include in each group. |
z2: |
Matrix, K2 x dim(X2)[2] indicator matrix indicating which variables to include in each group. |
iterations: |
Integer, number of MCMC iterations |
thin: |
Integer, store every 'thin' iteration |
dispIter: |
Integer, frequency of printing the iteration number |
ll: |
Boolean, Set to TRUE to display the maximum log-likelihood over all the draws. |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.