.. index:: rsamplers.slice.slice
.. _rsamplers_slice:

  rsamplers.slice is the constructor for the slice algorithm
  following :cite:`PlanasRossi2015` and :cite:`PlanasRossi2018` 
 
  The syntax is ::
 
  	obj = rsamplers.slice(target,x0,lb,ub)
  	obj = rsamplers.slice(target,x0,lb,ub,opts)
  	obj = rsamplers.slice(target,x0,lb,ub,opts,constraints)
 
  INPUTS:
 
    - \*target\* : objective to MAXIMIZE
    - \*x0\* : vector of initial conditions
    - \*lb\* : lower bound
    - \*ub\* : upper bound
    - \*opts\* : options for the class. These include the properties
      from the superclass rsamplers.rsampler.
    - \*constraints\* (optional):  - Matrix (n_constraints x 2)
      where each row [a, b] enforces x(a) <= x(b)
 
 
  OUTPUT:
 
    - \*obj\* : object of class rsamplers.rwmh
 
  OWN PROPERTIES AND DEFAULT VALUES: None
 
  INHERITED PROPERTIES AND DEFAULT VALUES (same as the inherited properties of rsamplers.rwmh):
 
    - \*nchain\* = 1 : number of chains
    - \*N\* = 2000 : number of draws
    - \*thinning\* =1 : number of thinning draws
    - \*burnin\* = 0 : burnin sample
    - \*MaxTime\* = inf : Max Time
    - \*MaxFunEvals\* = inf :
 
  .. seealso:: rsamplers.apt, rsamplers.imh, rsamplers.rsampler,
    rsamplers.rwmh