id_priors.idbrms_convolution: Define priors for the delay convolution model

In epiforecasts/idbrms: Infectious Disease Modelling Using brms

Define priors for the delay convolution model

Description

Define priors for the delay convolution model

Usage

## S3 method for class 'idbrms_convolution'
id_priors(
  data,
  scale = c(round(log(0.1), 2), 1),
  cmean = c(2, 1),
  lcsd = c(-0.5, 0.25),
  ...
)

Arguments

data	A data.frame as produced by prepare that must contain the date, location (as loc), primary (the data that the outcome is a convolution of) and secondary (the observation of interest. Should have class "idbrms_convolution".
scale	Vector of length two defining the mean and the standard deviation of the normal prior for the scaling factor.
cmean	Vector of length two defining the mean and standard deviation of the log mean of the delay distribution.
lcsd	Vector of length two defining the mean and standard deviation of the log standard deviation logged. the standard deviation to be greater than 0 on the unconstrained scale.
...	Additional arguments for method.

Author(s)

Sam Abbott

epiforecasts/idbrms documentation built on Sept. 9, 2022, 9:48 p.m.