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
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Type Package
Encoding UTF-8
License GPL-3
LazyData true
NeedsCompilation no
Packaged 2019-10-03 21:11:08 UTC; salgeri
Repository CRAN
Date/Publication 2019-10-04 23:40:02 UTC

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