Abc

Value parameters

dist

Function that takes a single parameter value and runs a forward simulation from the model, then computes distance of output from a target data set

n

The number of ABC simulations to be carried out

rprior

Function returing a single simulated parameter value from a prior

Attributes

Returns

The collection of generated parameters together with their simulated distances from a target data set

Value parameters

N

Number of samples to be propagated forward at each sweep

dperturb

Function for evaluating the log-density of a perturbed parameter relative to an original parameter. In the case of a non-symmetric perturbation kernel, it is the new, perturbed value that is the first element of the tuple.

dprior

Function returning the log-density of a parameter under the prior

factor

The acceptance rate at each sweep is 1/factor

rdist

Function which takes a parameter, runs a forward simultation, and then calculates a distance (as a scalar Double) from a target data set

rperturb

Function to perturb a parameter vector (perturbation kernel, in ABC-SMC speak)

rprior

Function for simulating from a prior on the parameters

steps

The number of sweeps of the ABC-SMC algorithm to perform

verb

Print progress to the console?

Attributes

Returns

An equally weighted sample from the ABC-SMC parameter posterior, approximately of size N

Value parameters

output

Collection of runs (and distances) such as generated from run

Attributes