marginals.vblogifit: Posterior marginals of the parameters in a vblogit fit
In antiphon/vblogistic: Logistic regression using Variational Bayes approximation
View source: R/posterior_marginals.R
marginals.vblogifit R Documentation
Posterior marginals of the parameters in a vblogit fit
Description
Use the fact that the variables are gaussian.
Usage
marginals.vblogifit(x, which = NULL, log = TRUE, ...)
Arguments
x
vblogit object
which
If NULL, create all marginals. Otherwise the indices to create.
log
If FALSE, exponentiate the values.
...
ignored
antiphon/vblogistic documentation built on Oct. 14, 2023, 1:14 a.m.
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View source: R/posterior_marginals.R
| marginals.vblogifit | R Documentation |
Posterior marginals of the parameters in a vblogit fit
Description
Use the fact that the variables are gaussian.
Usage
marginals.vblogifit(x, which = NULL, log = TRUE, ...)
Arguments
x |
vblogit object |
which |
If NULL, create all marginals. Otherwise the indices to create. |
log |
If FALSE, exponentiate the values. |
... |
ignored |
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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