traj: traj

In jtm508/bayestraj:

Description

Estimate the single trajectory model using a Gibbs Sampler

Usage

traj(X, y, K, z, iterations, W = matrix(), thin = 1, dispIter = 10,
  ll = FALSE)

Arguments

X:	Matrix, design matrix. 1st column should be the id.
y:	Vector, outcomes
K:	Integer, number of latent classes
z:	Matrix, K x dim(X)[2] indicator matrix indicating which variables to include in each group.
iterations:	Integer, number of MCMC iterations
W:	Matrix, design matrix for group membership
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.

jtm508/bayestraj documentation built on May 5, 2020, 12:48 p.m.