class RooStats::RatioOfProfiledLikelihoodsTestStat: public RooStats::TestStatistic

 Proof constructor. Don't use.

         Calculates the ratio of profiled likelihoods.

	 By default the calculation is:

	    Lambda(mu_alt , conditional MLE for alt nuisance)
	log --------------------------------------------
   	    Lambda(mu_null , conditional MLE for null nuisance)

	where Lambda is the profile likeihood ratio, so the
	MLE for the null and alternate are subtracted off.

	If SetSubtractMLE(false) then it calculates:

	    L(mu_alt , conditional MLE for alt nuisance)
	log --------------------------------------------
	    L(mu_null , conditional MLE for null nuisance)


	The values of the parameters of interest for the alternative
	hypothesis are taken at the time of the construction.
	If empty, it treats all free parameters as nuisance parameters.

	The value of the parameters of interest for the null hypotheses
	are given at each call of Evaluate(data,nullPOI).

 returns -logL(poi, conditional MLE of nuisance params)
 it does not subtract off the global MLE
 because  nuisance parameters of null and alternate may not
 be the same.

 evaluate the ratio of profile likelihood

 set the conditional observables which will be used when creating the NLL
 so the pdf's will not be normalized on the conditional observables when computing the NLL

 Returns detailed output. The value returned by this function is updated after each call to Evaluate().
 The returned RooArgSet contains the following for the alternative and null hypotheses:
 <ul>
 <li> the minimum nll, fitstatus and convergence quality for each fit </li>
 <li> for each fit and for each non-constant parameter, the value, error and pull of the parameter are stored </li>
 </ul>

    const bool PValueIsRightTail(void) { return false; } // overwrites default