A list containing the human cases (`cases'), source samples (`sources'), prevalences (`prev') and true values (`truevals').cases: data frame with 364 rows and 4 variables:
- Human
- number of human cases of campylobacteriosis
- Time
- Time id for the samples
- Location
- Location id for the samples
- Type
- MLST type id for the samples
sources: data frame with 1092 rows and 4 variables
- Count
- number of source samples positive for campylobacteriosis
- Time
- Time id for the samples
- Source
- Source id for the samples
- Type
- MLST type id for the samples
prev: data frame with 12 rows and 3 variables
- Value
- Prevalence value (number of positive samples divided by total number of samples)
- Time
- Time id for the samples
- Source
- Source id for the samples
truevals: list containing a long format data frame for each model parameter giving the true value of that parameter.
- alpha
- A dataframe with 24 rows and 4 variables: Value contains the true alpha values,
Time, Location and Source contain the time, location and source id's respectively.
- q
- A dataframe with 91 rows and 2 variables: Value contains the true q values, and
Type contains the type id's.
- lambda_i
- A dataframe with 364 rows and 4 variables: Value contains the true lambda_i values,
Time, Location and Type contain the time, location and type id's respectively.
- xi
- A dataframe with 24 rows and 4 variables: Value contains the true xi values,
Time, Location and Source contain the time, location and source id's respectively.
- r
- A dataframe with 2184 rows and 5 variables: Value contains the true r values,
Time, Type, Location and Source contain the time, type, location and source id's respectively.