likelihood_logit: likelihood_logit function
In azolling/EBmodules:
Description
Usage
Arguments
Value
Description
This function computes the likelihood for the empirical bayesian model. It uses the logit transformation to estimate p (simpler)
Usage
1
likelihood_logit(param, Z)
Arguments
param
is a vector of length L+2, where the L first vectors are sigma (the standard deviations for each of the different type1 studies),
q=logit(p)=param[L+1], where p is the probability that theta is 0 (trans(q)=p) and
tau=param[L+2], the sd of theta.
Z
a vector of z values (see bayesian_modules)
Value
the value of the likelihood
azolling/EBmodules documentation built on May 11, 2019, 5:17 p.m.
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Description Usage Arguments Value
Description
This function computes the likelihood for the empirical bayesian model. It uses the logit transformation to estimate p (simpler)
Usage
1 | likelihood_logit(param, Z)
|
Arguments
param |
is a vector of length L+2, where the L first vectors are sigma (the standard deviations for each of the different type1 studies), q=logit(p)=param[L+1], where p is the probability that theta is 0 (trans(q)=p) and tau=param[L+2], the sd of theta. |
Z |
a vector of z values (see bayesian_modules) |
Value
the value of the likelihood
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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