oimFitter

model fitting

Classes:

oimFitter(*args, **kwargs)

oimFitterEmcee(*args, **kwargs)

class oimodeler.oimFitter.oimFitter(*args, **kwargs)
params = {}
_eval(**kwargs)
prepare(**kwargs)
run(**kwargs)
getResults()
_prepare(**kwargs)
_run(**kwargs)
class oimodeler.oimFitter.oimFitterEmcee(*args, **kwargs)
_prepare(**kwargs)
_initGaussian()
_initRandom()
_initFixed()
_run(**kwargs)
_logProbability(theta)
getResults(mode='best', discard=0, chi2limfact=20, **kwargs)
cornerPlot(discard=0, chi2limfact=20, savefig=None, **kwargs)
walkersPlot(savefig=None, chi2limfact=20, labelsize=10, ncolors=128, **kwargs)