myBayesLogit: Do MCMC sampling for Bayesian logistic regression model
In Roche/crmPack: Object-Oriented Implementation of CRM Designs
myBayesLogit R Documentation
Do MCMC sampling for Bayesian logistic regression model
Description
Do MCMC sampling for Bayesian logistic regression model
Usage
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)
Roche/crmPack documentation built on April 30, 2024, 3:19 p.m.
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| myBayesLogit | R Documentation |
Do MCMC sampling for Bayesian logistic regression model
Description
Do MCMC sampling for Bayesian logistic regression model
Usage
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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