Other packages > Find by keyword >

threshr  

Threshold Selection and Uncertainty for Extreme Value Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("threshr", "1.0.7")



Attach the package and use:
library("threshr")
Maintained by
Paul J. Northrop
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-04
Latest Update: 2024-07-17
Description:
Provides functions for the selection of thresholds for use in extreme value models, based mainly on the methodology in Northrop, Attalides and Jonathan (2017) <doi:10.1111/rssc.12159>. It also performs predictive inferences about future extreme values, based either on a single threshold or on a weighted average of inferences from multiple thresholds, using the 'revdbayes' package <https://cran.r-project.org/package=revdbayes>. At the moment only the case where the data can be treated as independent identically distributed observations is considered.
How to cite:
Paul J. Northrop (2017). threshr: Threshold Selection and Uncertainty for Extreme Value Analysis. R package version 1.0.7, https://cran.r-project.org/web/packages/threshr. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:13), 1.0.0 (2017-09-04 10:17), 1.0.1 (2019-03-01 22:50), 1.0.2 (2020-09-05 18:50), 1.0.3 (2020-09-14 23:30), 1.0.4 (2023-09-02 18:20), 1.0.5 (2023-12-02 23:40), 1.0.6 (2024-07-17 23:10), 1.0.7 (2025-10-08 11:40)
Other packages that cited threshr R package
View threshr citation profile
Other R packages that threshr depends, imports, suggests or enhances
Complete documentation for threshr
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
Download / Learn more Package Citations See dependency  
RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency  
leafgl  
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency  
clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA