randomised_testing_prevalence: Calculate log posterior of prevalence based on data from...
In alan-turing-institute/prevdebiasr: Estimate Local Prevalence Using Targeted And Randomised Testing Data
View source: R/local_prevalence.R
Description
Calculate log posterior of prevalence based on data from randomised testing
Usage
1
randomised_testing_prevalence(test_df, control, imperfect)
Arguments
test_df
A data.frame with the following columns
/well/holmes/users/rxa753/jbc-turing-rss-testdebiasing/scripts/04_main_cut.R
Nr: Total number of randomised tests
nr: Number of randomised tests returning positive
M: Population of local area
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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View source: R/local_prevalence.R
Description
Calculate log posterior of prevalence based on data from randomised testing
Usage
1 | randomised_testing_prevalence(test_df, control, imperfect)
|
Arguments
test_df |
A data.frame with the following columns /well/holmes/users/rxa753/jbc-turing-rss-testdebiasing/scripts/04_main_cut.R
|
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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