select_prior.Rd
Define prior distributions for stochastic parameters
select_prior( param, pars, starting.point = NULL, prior.dist = NULL, prior.pars = list(), shift_only = FALSE )
param | A |
---|---|
pars | A vector of the names of random parameters. |
starting.point | A vector of starting points of randomness for each parameter. Before starting point, parameters are taken as constants; after starting point, parameters are simulated from given or default priors. If NULL, all starting points are 1's, i.e. all parameters are generated from prior distributions from the first time point. |
prior.dist | Prior probability distributions of the parameters in |
prior.pars | Probability distribution parameters in |
shift_only | In effect only for parameters (in |
A prior
object
#> Prior distributions for SEIQHRF Parameters #> =========================================== #> act.rate.q : N( mean = 2.5 , sd = 0.1 ) #> inf.prob.i : Beta( a = 50 , b = 950 ), mean = 0.05 , s.e = 0.007 #> ===========================================