get_samps {epidemia} | R Documentation |
get_samps
can be used to randomly
select states from a fitted model object of class epimodel
.
The object must have been fit using Markov chain Monte Carlo, i.e.
using algorithm = "sampling"
in the call to epim
.
The states are sampled uniformly at random without replacement, across
all chains and not including the warmup period.
get_samps(prefit, n)
prefit |
An object of class |
n |
A positive integer. This specifies the number of states to sample. |
This function can be used to specify the initial state for
sampling based on states from another sampling run. This
is particularly useful, for example, when you wish to fit a model using
pop_adjust = T
, as this makes the posterior geometry difficult to
explore. Using a "prefit" run with pop_adjust = F
is useful for
finding good states that can be used as initial states for the run with
the population adjustment.
A list of length n
. Each element in the list is itself a named
list, with elements corresponding to sample parameters. The result can be
passed directly as the init
argument in epim
.