add_ucl_nopool: Add no-pooling UCL to data frame
In jmeydam/countcheck: Detecting Count Anomalies Using Bayesian Hierarchical Models
add_ucl_nopool R Documentation
Add no-pooling UCL to data frame
Description
Adds UCL based on n_new and no-pooling estimate of theta
to data frame.
Usage
add_ucl_nopool(d, factor_sd = 3)
Arguments
d
Initialized data frame
factor_sd
Factor multiplying standard deviation (default: 3)
Value
Data frame with values for ucl_nopool
jmeydam/countcheck documentation built on Aug. 16, 2024, 11:34 a.m.
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| add_ucl_nopool | R Documentation |
Add no-pooling UCL to data frame
Description
Adds UCL based on n_new and no-pooling estimate of theta to data frame.
Usage
add_ucl_nopool(d, factor_sd = 3)
Arguments
d |
Initialized data frame |
factor_sd |
Factor multiplying standard deviation (default: 3) |
Value
Data frame with values for ucl_nopool
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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