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LPBkg  

Detecting New Signals under Background Mismodelling
View on CRAN: Click here


Download and install LPBkg package within the R console
Install from CRAN:
install.packages("LPBkg")

Install from Github:
library("remotes")
install_github("cran/LPBkg")

Install by package version:
library("remotes")
install_version("LPBkg", "1.2")



Attach the package and use:
library("LPBkg")
Maintained by
Sara Algeri
[Scholar Profile | Author Map]
First Published: 2019-09-27
Latest Update: 2019-10-04
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) .
How to cite:
Sara Algeri (2019). LPBkg: Detecting New Signals under Background Mismodelling. R package version 1.2, https://cran.r-project.org/web/packages/LPBkg. Accessed 03 May. 2025.
Previous versions and publish date:
1.1.4 (2019-09-27 12:50)
Other packages that cited LPBkg R package
View LPBkg citation profile
Other R packages that LPBkg depends, imports, suggests or enhances
Complete documentation for LPBkg
Functions, R codes and Examples using the LPBkg R package
Some associated functions: BestM . Legj . c_alpha2 . denoise . dhatL2 . 
Some associated R codes: LPBkg.R .  Full LPBkg package functions and examples
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