def loadJobItemResults(self, paramNameFile=None, bestfit=True, bestfitonly=False, noconverge=False, silent=False):
self.result_converge = None
self.result_marge = None
self.result_likemarge = None
self.result_bestfit = self.chainBestfit(paramNameFile)
if not bestfitonly:
marge_root = self.distRoot
if self.getDistExists():
if not noconverge: self.result_converge = ResultObjs.convergeStats(marge_root + '.converge')
self.result_marge = ResultObjs.margeStats(marge_root + '.margestats', paramNameFile)
self.result_likemarge = ResultObjs.likeStats(marge_root + '.likestats')
if self.result_bestfit is not None and bestfit: self.result_marge.addBestFit(self.result_bestfit)
elif not silent: print 'missing: ' + marge_root
