# LPBkg v1.2

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## Detecting New Signals under Background Mismodelling

Given a postulated model and a set of data, the comparison density is estimated and the deviance test is implemented in order to assess if the data distribution deviates significantly from the postulated model. Finally, the results are summarized in a CD-plot as described in Algeri S. (2019) <arXiv:1906.06615>.

## Functions in LPBkg

 Name Description BestM Chooses the size of the polynomial basis Legj Evaluation of normalized shifted Legendre polynomials denoise Coefficients of the denoised comparison density estimator dhatL2 CD-plot and adjusted deviance test c_alpha2 Approximated quantiles No Results!