starvine.uvar.uvmodels.uv_gauss.UVGauss Class Reference

Custom 2 parameter gaussian distribution. More...

Inheritance diagram for starvine.uvar.uvmodels.uv_gauss.UVGauss:

Public Member Functions
def	__init__ (self, args, kwargs)
Public Member Functions inherited from starvine.uvar.uvmodels.uv_base.UVmodel
def	__init__ (self, paramsString, momtype, bounds, args, kwargs)
def	setupGMM (self, data, w=1.0, nMoM=None)
	General Method of Moments setup. More...
def	fitKDE (self, data, args)
	Fit gaussian kernel density fn to data.
def	setLogPrior (self, logPriorFn)
	Set log of prior distribution . More...
def	setupMCMC (self, nwalkers, params, data, wgts=None, args)
	Initilize the MCMC sampler. More...
def	fitMCMC (self, iters, pos=None)
	Execute MCMC model parameter fitting. More...
def	fitMLE (self, data, params0, weights=None, args, kwargs)
	Generic maximum (log)likelyhood estimate of paramers. More...

Public Attributes
	defaultParams
Public Attributes inherited from starvine.uvar.uvmodels.uv_base.UVmodel
	nParams
	nMomentConditions
	internalGMM
	kde
	logPriorFn
	walker_pos
	nwalkers
	sampler

Private Member Functions
def	_pdf (self, x, args)
	Gamma PDF.
def	_cdf (self, x, args)
def	_pCheck (self, params)

Detailed Description

Custom 2 parameter gaussian distribution.

Member Function Documentation

_pCheck()

def starvine.uvar.uvmodels.uv_gauss.UVGauss._pCheck (   self,   params  )

private

@brief Parameter bounds check

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The documentation for this class was generated from the following file:

• starvine/uvar/uvmodels/uv_gauss.py