update_sample_rev

This is the workhorse of the MCMC algorithm

update_sample_rev(
  samps,
  samp.p,
  cov.mats,
  data,
  sim,
  out,
  Tmax,
  sizestep,
  data.times,
  l,
  solver,
  i,
  cnt,
  obs.model,
  pdfs,
  hyper,
  w.p,
  verbose.mcmc,
  verbose,
  is.de,
  is.single,
  joint.blocks,
  ...
)

Arguments

samps	row vector of samples from the previous mcmc iteration
samp.p	the parlist created by setup_debinfer
cov.mats	the covariance matrices
data	the observation
sim	the de.model
out	list containing the initial or previous update i.e. list(s=samps[i-1,], inits=inits, p=params, sim.old=sim.start)
Tmax	maximum timestep for solver
sizestep	sizestep for solver when not using data.times
data.times	times with observations
l	number of parameters to be proposed
solver	solver choice
i	current MCMC iteration
cnt	interval for printing/plotting information on chains
obs.model	function containing obs model
pdfs	names of prior pdfs
hyper	list of hyperparameters
w.p	names of free parameters
verbose.mcmc	logical print MCMC progress messages
verbose	logical, print additional information from solver
is.de	logical, parameter is an input for the solver
is.single	parameter is to be proposed individually
joint.blocks	names of joint blocks
...	further arguments to solver