prior_prevalence: Calculate prior prevalence
In alan-turing-institute/prevdebiasr: Estimate Local Prevalence Using Targeted And Randomised Testing Data
Description
Calculate prior prevalence
Usage
1
prior_prevalence(test_df, control)
Arguments
test_df
A data.frame with the following columns
Nt: Total number of targeted tests
nt: Number of targeted tests returning positive
Nr: Total number of randomised tests
nr: Number of randomised tests returning positive
M: Population of local area
delta_prior_mean: Prior mean of bias parameter
delta_prior_sd: Prior standard deviation of bias parameter
alpha: Alpha parameter of beta-binomial prior on probability of infectious given PCR positive
beta: Beta parameter of beta-binomial prior on probability of infectious given PCR positive
control
A list of control parameters defined via
get_control_parameters
alan-turing-institute/prevdebiasr documentation built on Dec. 19, 2021, 12:22 a.m.
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Description
Calculate prior prevalence
Usage
1 | prior_prevalence(test_df, control)
|
Arguments
test_df |
A data.frame with the following columns
|
control |
A list of control parameters defined via
|
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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