sabayes_find_quantile: sabayes_find_quantile
In spencerwoody/saFAB: Selection-adjusted FAB inference
Description
Usage
Arguments
Value
Author(s)
Description
Find quantile of selection-adjusted Bayesian posterior
distribution (i.e. under conditional selection), using normal
sampling distribution and spike-and-slab prior on means thetas
Usage
1
sabayes_find_quantile(y, p, sigma, tau, t, q)
Arguments
y
value of y
p
prior probability of signal
sigma
standard deviation of sampling distribution
tau
standard deviation / scale of Gaussian slab
t
truncation point
q
desired quantile
Value
Quantile of Bayesian posterior distribution
Author(s)
Spencer Woody
spencerwoody/saFAB documentation built on Feb. 18, 2020, 5:56 a.m.
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Description Usage Arguments Value Author(s)
Description
Find quantile of selection-adjusted Bayesian posterior distribution (i.e. under conditional selection), using normal sampling distribution and spike-and-slab prior on means thetas
Usage
1 | sabayes_find_quantile(y, p, sigma, tau, t, q)
|
Arguments
y |
value of y |
p |
prior probability of signal |
sigma |
standard deviation of sampling distribution |
tau |
standard deviation / scale of Gaussian slab |
t |
truncation point |
q |
desired quantile |
Value
Quantile of Bayesian posterior distribution
Author(s)
Spencer Woody
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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