Generate a new point using LRPS

Use an LRPS method to replace points within the live set during a nested sampling run. This method must be implemented on all classes that inherit from ernest_lrps.

Usage

propose(x, original = NULL, criterion = -Inf)

# S3 method for class 'multi_ellipsoid'
propose(x, original = NULL, criterion = -Inf)

# S3 method for class 'rwmh_cube'
propose(x, original = NULL, criterion = -Inf)

# S3 method for class 'slice_rectangle'
propose(x, original = NULL, criterion = -Inf)

# S3 method for class 'unif_cube'
propose(x, original = NULL, criterion = -Inf)

# S3 method for class 'unif_ellipsoid'
propose(x, original = NULL, criterion = -Inf)

Arguments

x

[ernest_lrps]
A likelihood-restricted prior sampler.

original

[double(x$n_dim)]
A parameter vector which can be used to start the proposal process. Optional; if NULL proposals are generated from sampling the unconstrained unit cube.

criterion

[double(1)]
A log-likelihood value that restricts the region of prior space to sample from.

Value

[list], containing at least these named elements:

• unit: [double(x$n_dim)] The replacement point, expressed in the unit-cube.

• log_lik: [double(1)] The log-likelihood value at unit.

• neval: [integer(1)] The number of evaluations of unit_log_fn needed to generate unit. Do not confuse this with the number of samples evaluated during the call to propose, as unit_log_fn may be capable of evaluating multiple parameters with a single call.