post_sample: post_sample
In ashr: Methods for Adaptive Shrinkage, using Empirical Bayes
post_sample R Documentation
post_sample
Description
returns random samples from the posterior, given a prior distribution
m and n observed datapoints.
Usage
post_sample(m, data, nsamp)
Arguments
m
prior distribution (eg of type normalmix)
data
a list with components x and s, each vectors of length n, to be interpreted as a
normally-distributed observations and corresponding standard errors
nsamp
number of random samples to return for each observation
Details
exported, but mostly users will want to use 'get_post_sample'
Value
an nsamp by n matrix
ashr documentation built on Aug. 22, 2023, 1:07 a.m.
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| post_sample | R Documentation |
post_sample
Description
returns random samples from the posterior, given a prior distribution m and n observed datapoints.
Usage
post_sample(m, data, nsamp)
Arguments
m |
prior distribution (eg of type normalmix) |
data |
a list with components x and s, each vectors of length n, to be interpreted as a normally-distributed observations and corresponding standard errors |
nsamp |
number of random samples to return for each observation |
Details
exported, but mostly users will want to use 'get_post_sample'
Value
an 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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