marginal_gauss_conditional: marginal_gauss_conditional
In spencerwoody/saFAB: Selection-adjusted FAB inference
Description
Usage
Arguments
Value
Author(s)
View source: R/marginal_funs_conditional.R
Description
Marginal density of y for Gaussian prior on mean theta, under
conditional selection
Usage
1
marginal_gauss_conditional(y, sigma, tau, t)
Arguments
y
value of y
sigma
standard deviation of sampling distribution
tau
scale / standard deviation of Gaussian prior for theta
t
truncation point
Value
marginal density
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)
View source: R/marginal_funs_conditional.R
Description
Marginal density of y for Gaussian prior on mean theta, under conditional selection
Usage
1 | marginal_gauss_conditional(y, sigma, tau, t)
|
Arguments
y |
value of y |
sigma |
standard deviation of sampling distribution |
tau |
scale / standard deviation of Gaussian prior for theta |
t |
truncation point |
Value
marginal density
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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