delta_regional_posterior: Approximate delta posterior based on regional testing data
In alan-turing-institute/prevdebiasr: Estimate Local Prevalence Using Targeted And Randomised Testing Data
Description
Approximate delta posterior based on regional testing data
Usage
1
delta_regional_posterior(test_df, I_quant, control, imperfect)
Arguments
test_df
A data.frame with the following columns
Nt: Total number of targeted tests in region
nt: Number of randomised tests returning positive in region
M: Population of region
I_quant
Posterior quantiles of prevalence calculated by
randomised_testing_prevalence
control
A list of control parameters defined via
get_control_parameters
imperfect
Logical, whether to account for imperfect testing
alan-turing-institute/prevdebiasr documentation built on Dec. 19, 2021, 12:22 a.m.
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Description
Approximate delta posterior based on regional testing data
Usage
1 | delta_regional_posterior(test_df, I_quant, control, imperfect)
|
Arguments
test_df |
A data.frame with the following columns
|
I_quant |
Posterior quantiles of prevalence calculated by
|
control |
A list of control parameters defined via
|
imperfect |
Logical, whether to account for imperfect testing |
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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