sample_prior: Generic method for sampling from prior distribution of object
In jsilve24/stray: Bayesian Multinomial Logistic Normal Regression
Description
Usage
Arguments
Value
Description
Generic method for sampling from prior distribution of object
Usage
1
sample_prior(m, n_samples = 2000L, ...)
Arguments
m
object
n_samples
number of samples to produce
...
other arguments to be passed
Value
object of the same class
jsilve24/stray documentation built on Jan. 29, 2022, 8:32 p.m.
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Description Usage Arguments Value
Description
Generic method for sampling from prior distribution of object
Usage
1 | sample_prior(m, n_samples = 2000L, ...)
|
Arguments
m |
object |
n_samples |
number of samples to produce |
... |
other arguments to be passed |
Value
object of the same class
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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