Learn R Programming

LPBkg (version 1.2)

Detecting New Signals under Background Mismodelling

Description

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) .

Copy Link

Version

Install

install.packages('LPBkg')

Monthly Downloads

208

Version

1.2

License

GPL-3

Maintainer

Sara Algeri

Last Published

October 4th, 2019

Functions in LPBkg (1.2)

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