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__init__(self,
meldobj,
samples,
sampmax,
data,
t,
parpriors,
parnames,
parlimits,
likfun,
likvariance,
burnin,
thin=5,
convergenceCriteria=1.1,
nCR=3,
DEpairs=1,
adaptationRate=.65,
eps=5e-6,
mConvergence=False,
mAccept=False,
**kwargs)
x.__init__(...) initializes x; see x.__class__.__doc__ for signature |
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_det_outlier_chains(self,
step)
Determine which chains are outliers |
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delayed_rejection(self,
xi,
zi,
pxi,
zprob)
Generates a second proposal based on rejected proposal xi |
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_alpha1(self,
p1,
p2)
Returns the Metropolis acceptance probability:
alpha1(p1,p1) = min(1,p1/p2) if p2 >-np.inf else 1 |
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_prop_initial_theta(self,
step)
Generate Theta proposals from priors |
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_prop_phi(self,
thetalist,
po=None)
Returns proposed Phi derived from theta |
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_chain_evolution(self,
proptheta,
propphi,
pps,
liks)
Chain evolution as describe in ter Braak's Dream algorithm. |
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Inherited from _Sampler :
DIC ,
best_prop_index ,
check_constraints ,
dimensions ,
gr_R ,
gr_convergence ,
po ,
setup_xmlrpc_plotserver ,
shut_down ,
shutdown_xmlrpc_plotserver ,
term_pool
Inherited from object :
__delattr__ ,
__format__ ,
__getattribute__ ,
__hash__ ,
__new__ ,
__reduce__ ,
__reduce_ex__ ,
__repr__ ,
__setattr__ ,
__sizeof__ ,
__str__ ,
__subclasshook__
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