Other packages > Find by keyword >

mevr  

Fitting the Metastatistical Extreme Value Distribution MEVD
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mevr", "1.1.1")



Attach the package and use:
library("mevr")
Maintained by
Harald Schellander
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-06-15
Latest Update: 2024-06-15
Description:
Extreme value analysis with the metastatistical extreme value distribution MEVD (Marani and Ignaccolo, 2015, <doi:10.1016/j.advwatres.2015.03.001>) and some of its variants. In particular, analysis can be performed with the simplified metastatistical extreme value distribution SMEV (Marra et al., 2019, <doi:10.1016/j.advwatres.2019.04.002>) and the temporal metastatistical extreme value distribution TMEV (Falkensteiner et al., 2023, <doi:10.1016/j.wace.2023.100601>). Parameters can be estimated with probability weighted moments, maximum likelihood and least squares. Density, distribution function, quantile function and random generation for the MEVD, SMEV and TMEV are included. In addition, functions for the calculation of return levels including confidence intervals are provided. For a description of use cases please see the provided references.
How to cite:
Harald Schellander (2024). mevr: Fitting the Metastatistical Extreme Value Distribution MEVD. R package version 1.1.1, https://cran.r-project.org/web/packages/mevr. Accessed 12 Nov. 2024.
Previous versions and publish date:
1.0.0 (2024-06-15 10:50)
Other packages that cited mevr R package
View mevr citation profile
Other R packages that mevr depends, imports, suggests or enhances
Complete documentation for mevr
Functions, R codes and Examples using the mevr R package
Full mevr package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

mmrm  
Mixed Models for Repeated Measures
Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuou ...
Download / Learn more Package Citations See dependency  
Relectoral  
Electoral Analysis
Functions to obtain an important number of electoral indicators described in the package, which can ...
Download / Learn more Package Citations See dependency  
snap  
Simple Neural Application
A simple wrapper to easily design vanilla deep neural networks using 'Tensorflow'/'Keras' backend fo ...
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  
emIRT  
EM Algorithms for Estimating Item Response Theory Models
Various Expectation-Maximization (EM) algorithms are implemented for item response theory (IRT) mod ...
Download / Learn more Package Citations See dependency  
visualize  
Graph Probability Distributions with User Supplied Parameters and Statistics
Graphs the pdf or pmf and highlights what area or probability is present in user defined locations. ...
Download / Learn more Package Citations See dependency  

23,171

R Packages

199,134

Dependencies

62,827

Author Associations

23,089

Publication Badges

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