IBIS.logreg.opts: Additional argument generator for `IBIS.logreg()`

Description

This function is used to specify additional arguments to IBIS.logreg.

Usage

IBIS.logreg.opts(
  N = 1000,
  ess = N/2,
  n_move = 1,
  weighted = FALSE,
  prior.override = FALSE,
  rprior = NULL,
  dprior = NULL,
  ...
)

Value

A list consisting of:

N: Number of particles for the SMC sampler

ess

Effective Sample Size Threshold

n_move

Number of Metropolis-Hastings steps

rprior

Function which produces samples from your prior. NULL if prior.override==FALSE.

dprior

Function which produces your specified priors density for inputted samples. NULL if prior.override==FALSE.

prior.override

Logical value indicating if the prior has been overridden or not.

weighted

Logical value indicating if the outputted particles of IBIS.logreg should be weighted or not.

MoreArgs

A list of the additional arguments required for rprior and dprior. NULL if prior.override==FALSE.

Arguments

N: Number of particles for the SMC sampler. Defaults to 1000.
ess: Effective Sample Size Threshold: If the effective sample size of the particles falls below this value then a resample move step is triggered. Defaults to N/2.
n_move: Number of Metropolis-Hastings steps to apply each time a resample move step is triggered. Defaults to 1.
weighted: Should the outputted samples be weighted? Defaults to FALSE.
prior.override: Are you overriding the default multivariate normal form of the prior? Defaults to FALSE.
rprior: Function which produces samples from your prior if the default prior form is to be overridden. If using the default prior form this does not need to be specified.
dprior: Function which produces your specified priors density for inputted samples if the default prior form is to be overridden. If using the default prior form this does not need to be specified.
...: Additional arguments required for complete specification of the two prior functions given, if the default prior form is to be overridden.

Details

This function should only be used to provide additional control arguments to IBIS.logreg.

Specifying rprior and dprior will not override the default prior form unless prior.override=TRUE. If a multivariate normal form is required then the arguments for this prior should be specified in IBIS.logreg.

Examples

Run this code


#Specifying a multivariate independent uniform prior

rmviu <- function(n,a,b){
return(mapply(FUN = function(min.vec,max.vec,pn){stats::runif(pn,a,b)},
              min.vec=a,max.vec=b,MoreArgs = list(pn = n)))
}
dmviu <- function(x,a,b){
for(ii in 1:ncol(x)){
  x[,ii] <- dunif(x[,ii],a[ii],b[ii])
}
return(apply(x,1,prod))
}

IBIS.logreg.opts(prior.override = TRUE,rprior = rmviu,
                 dprior = dmviu,a=rep(0,3),b=rep(1,3))