Character string defining the observation model. Options are
Negative binomial ("negbin"), the default, and Poisson.
weight
Numeric, defaults to 1. Weight to give the observed data in
the log density.
week_effect
Logical defaulting to TRUE. Should a day of the week effect
be used in the observation model.
scale
List, defaulting to an empty list. Should an scaling factor be applied
to map latent infections (convolved to date of report). If none empty a mean
(mean) and standard deviation (sd) needs to be supplied defining the normally
distributed scaling factor.
# NOT RUN {# default settingsobs_opts()
# Turn off day of the week effectobs_opts(week_effect = TRUE)
# Scale reported dataobs_opts(scale = list(mean = 0.2, sd = 0.02))
# }