dualtrajMS: dualtraj
In jtm508/bayestraj:
Description
Estimate the dual trajectory model using a Gibbs Sampler
Usage
1
2
dualtrajMS(X1, X2, y1, y2, K1, K2, time_index, iterations, thin = 1,
dispIter = 10)
Arguments
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
time_index:
Integer, column of X corresponding to time
iterations:
Integer, number of MCMC iterations
thin:
Integer, store every 'thin' iteration
dispIter:
Integer, frequency of printing the iteration number
jtm508/bayestraj documentation built on May 5, 2020, 12:48 p.m.
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Description
Estimate the dual trajectory model using a Gibbs Sampler
Usage
1 2 | dualtrajMS(X1, X2, y1, y2, K1, K2, time_index, iterations, thin = 1,
dispIter = 10)
|
Arguments
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 |
time_index: |
Integer, column of X corresponding to time |
iterations: |
Integer, number of MCMC iterations |
thin: |
Integer, store every 'thin' iteration |
dispIter: |
Integer, frequency of printing the iteration number |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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