control.san  R Documentation 
Auxiliary function as user interface for finetuning simulated annealing algorithm.
control.san( SAN.maxit = 4, SAN.tau = 1, SAN.invcov = NULL, SAN.invcov.diag = FALSE, SAN.nsteps.alloc = function(nsim) 2^seq_len(nsim), SAN.nsteps = 2^19, SAN.samplesize = 2^12, SAN.prop = trim_env(~sparse), SAN.prop.weights = "default", SAN.prop.args = list(), SAN.packagenames = c(), SAN.ignore.finite.offsets = TRUE, term.options = list(), seed = NULL, parallel = 0, parallel.type = NULL, parallel.version.check = TRUE, parallel.inherit.MT = FALSE )
SAN.maxit 
Number of temperature levels to use. 
SAN.tau 
Tuning parameter, specifying the temperature of the
process during the penultimate iteration. (During the last
iteration, the temperature is set to 0, resulting in a greedy
search, and during the previous iterations, the temperature is
set to 
SAN.invcov 
Initial inverse covariance matrix used to
calculate Mahalanobis distance in determining how far a proposed
MCMC move is from the 
SAN.invcov.diag 
Whether to only use the diagonal of the covariance matrix. It seems to work better in practice. 
SAN.nsteps.alloc 
Either a numeric vector or a function of the number of runs giving a sequence of relative lengths of simulated annealing runs. 
SAN.nsteps 
Number of MCMC proposals for all the annealing runs combined. 
SAN.samplesize 
Number of realisations' statistics to obtain for tuning purposes. 
SAN.prop 
Specifies the proposal (directly) and/or
a series of "hints" about the structure of the model being
sampled. The specification is in the form of a onesided formula
with hints separated by A common and default "hint" is 
SAN.prop.weights 
Specifies the proposal
distribution used in the SAN MetropolisHastings algorithm. Possible
choices depending on selected 
SAN.prop.args 
An alternative, direct way of specifying additional arguments to proposal. 
SAN.packagenames 
Names of packages in which to look for change statistic functions in addition to those autodetected. This argument should not be needed outside of very strange setups. 
SAN.ignore.finite.offsets 
Whether SAN should ignore (treat as 0) finite offsets. 
term.options 
A list of additional arguments to be passed to term initializers. See 
seed 
Seed value (integer) for the random number generator. See

parallel 
Number of threads in which to run the sampling. Defaults to 0 (no parallelism). See the entry on parallel processing for details and troubleshooting. 
parallel.type 
API to use for parallel processing. Supported values
are 
parallel.version.check 
Logical: If TRUE, check that the version of

parallel.inherit.MT 
Logical: If TRUE, slave nodes and
processes inherit the 
This function is only used within a call to the san
function.
See the usage
section in san
for details.
A list with arguments as components.
san
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