post_sample.unimix: post_sample.unimix
In ashr: Methods for Adaptive Shrinkage, using Empirical Bayes
post_sample.unimix R Documentation
post_sample.unimix
Description
returns random samples from the posterior, given a
prior distribution m and n observed datapoints.
Usage
## S3 method for class 'unimix'
post_sample(m, data, nsamp)
Arguments
m
mixture distribution with k components
data
a list with components x and s to be interpreted as a
normally-distributed observation and its standard error
nsamp
number of samples to return for each observation
Value
a nsamp by n matrix
ashr documentation built on Aug. 22, 2023, 1:07 a.m.
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| post_sample.unimix | R Documentation |
post_sample.unimix
Description
returns random samples from the posterior, given a prior distribution m and n observed datapoints.
Usage
## S3 method for class 'unimix'
post_sample(m, data, nsamp)
Arguments
m |
mixture distribution with k components |
data |
a list with components x and s to be interpreted as a normally-distributed observation and its standard error |
nsamp |
number of samples to return for each observation |
Value
a nsamp by n matrix
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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