myBayesLogit: Do MCMC sampling for Bayesian logistic regression model
In 0liver0815/onc-crmpack-test: Object-Oriented Implementation of CRM Designs
Description
Usage
Arguments
Value
Description
Do MCMC sampling for Bayesian logistic regression model
Usage
1
myBayesLogit(y, X, m0, P0, options)
Arguments
y
0/1 vector of responses
X
design matrix
m0
prior mean vector
P0
precision matrix
options
McmcOptions object
Value
the matrix of samples (samples x parameters)
0liver0815/onc-crmpack-test documentation built on Feb. 19, 2022, 12:25 a.m.
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Description Usage Arguments Value
Description
Do MCMC sampling for Bayesian logistic regression model
Usage
1 | myBayesLogit(y, X, m0, P0, options)
|
Arguments
y |
0/1 vector of responses |
X |
design matrix |
m0 |
prior mean vector |
P0 |
precision matrix |
options |
McmcOptions object |
Value
the matrix of samples (samples x parameters)
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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