update_sample_rev {deBInfer} | R Documentation |
update_sample_rev
Description
This is the workhorse of the MCMC algorithm
Usage
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 |