theta_complpool: Complete-pooling model
In jmeydam/countcheck: Detecting Count Anomalies Using Bayesian Hierarchical Models
theta_complpool R Documentation
Complete-pooling model
Description
For the complete-pooling model we consider theta_i to be the same
for all observational units. We assume that observed data can be
treated as coming from a homogeneous source. For all units i our
complete-pooling estimate of theta_i is the ratio of the sum of
the observed count values of interest y_i to the sum of the
reference count values n_i.
Usage
theta_complpool(n, y)
Arguments
n
Previous reference count values (measure of exposure),
must at least be 1
y
Previous count values of interest
Value
Complete-pooling estimates of theta
jmeydam/countcheck documentation built on Aug. 16, 2024, 11:34 a.m.
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| theta_complpool | R Documentation |
Complete-pooling model
Description
For the complete-pooling model we consider theta_i to be the same for all observational units. We assume that observed data can be treated as coming from a homogeneous source. For all units i our complete-pooling estimate of theta_i is the ratio of the sum of the observed count values of interest y_i to the sum of the reference count values n_i.
Usage
theta_complpool(n, y)
Arguments
n |
Previous reference count values (measure of exposure), must at least be 1 |
y |
Previous count values of interest |
Value
Complete-pooling estimates of theta
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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