myBayesLogit: MCMC Sampling for Bayesian Logistic Regression Model
In crmPack: Object-Oriented Implementation of Dose Escalation Designs
myBayesLogit R Documentation
MCMC Sampling for Bayesian Logistic Regression Model
Description
![[Stable]](../help/figures/lifecycle-stable.svg)
Replacement for BayesLogit::logit. Performs MCMC sampling for Bayesian
logistic regression using JAGS.
Usage
myBayesLogit(y, X, m0, P0, options)
Arguments
y
(integer)
0/1 vector of responses.
X
(matrix)
design matrix.
m0
(numeric)
prior mean vector.
P0
(matrix)
precision matrix.
options
(McmcOptions)
MCMC options.
Value
The matrix of samples (samples x parameters).
crmPack documentation built on Nov. 29, 2025, 5:07 p.m.
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| myBayesLogit | R Documentation |
MCMC Sampling for Bayesian Logistic Regression Model
Description
Replacement for BayesLogit::logit. Performs MCMC sampling for Bayesian
logistic regression using JAGS.
Usage
myBayesLogit(y, X, m0, P0, options)
Arguments
y |
( |
X |
( |
m0 |
( |
P0 |
( |
options |
( |
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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