hierarchical_bayesian_model {serosv} | R Documentation |
Hierarchical Bayesian Model
Description
Refers to section 10.3
Usage
hierarchical_bayesian_model(
data,
type = "far3",
chains = 1,
warmup = 1500,
iter = 5000
)
Arguments
data |
the input data frame, must either have 'age', 'pos', 'tot' columns (for aggregated data) OR 'age', 'status' for (linelisting data) |
type |
type of model ("far2", "far3" or "log_logistic") |
chains |
number of Markov chains |
warmup |
number of warmup runs |
iter |
number of iterations |
Value
a list of class hierarchical_bayesian_model with 6 items
datatype |
type of datatype used for model fitting (aggregated or linelisting) |
df |
the dataframe used for fitting the model |
type |
type of bayesian model far2, far3 or log_logistic |
info |
parameters for the fitted model |
sp |
seroprevalence |
foi |
force of infection |
Examples
df <- mumps_uk_1986_1987
model <- hierarchical_bayesian_model(df, type="far3")
model$info
plot(model)
[Package serosv version 1.1.0 Index]