seir.mcmc: Run MCMC on the SEIR model

In sbfnk/dynmod: Dynamic models

Description

Run MCMC on the SEIR model

Usage

seir.mcmc(target, init.theta, proposal.sd = NULL, n.iterations,
  print.info.every = n.iterations/100, acceptance.rate.window = NULL,
  verbose = FALSE, max.scaling.sd = 50, adapt.size.start = NULL,
  adapt.size.cooling = 0.99, adapt.shape.start = NULL)

Arguments

target	target function (takes one parameter, a numeric vector)
init.theta	initial value of the target function
proposal.sd	standard deviation of the proposal kernel
n.iterations	number of iterations to run the MCMC for
print.info.every	print info every n steps
acceptance.rate.window	window to calculate acceptance rate
verbose	if TRUE, print verbose output
max.scaling.sd	maximal scaling of the standard dveiation in the adaptive MCMC
adapt.size.start	after how many iterations to start adapting the size
adapt.size.cooling	cooling schedule of size adaptation
adapt.shape.start	after how many samples to start adapting the shape

Value

the trace

Author(s)

Anton Camacho, Sebastian Funk

sbfnk/dynmod documentation built on May 29, 2019, 3:21 p.m.