gen_post: Prepare a posterior log-pdf function for use in Bayesian...
In rplzzz/CovMitigation: COVID-19 infection model for Virginia

Create a function that computes and sums the log-prior and the log-posterior.

gen_post(
  prior_weight = 10,
  fixed_parms = NULL,
  maxdate = NULL,
  hparms = list(),
  verbose = FALSE
)

`prior_weight`	Factor to multiply the prior by. Default is 10. If set to `NULL`, make it equal to the number of counties for which we have confirmed COVID-19 cases.
`fixed_parms`	A named vector of parameters to use as fixed values for parameters not passed to the likelihood function. Note these "fixed" parameters can still be overridden by passing an explicit value.
`maxdate`	Latest date to use in the calibration.
`hparms`	Named vector of hyperparameters for the likelihood. See details for supported hyperparameters.
`verbose`	If `TRUE`, have the prior and likelihood print additional diagnostic information.

Recognized hyperparameters are

fsalpha: Alpha parameter for the beta distribution of symptomatic fraction in the likelihood.
fsbeta: Beta parameter for the beta distribution of symptomatic fraction in the likelihood. Note the most likely value of fs is \frac{α-1}{α+β-2}

rplzzz/CovMitigation documentation built on June 7, 2021, 8:48 a.m.