ftcanmax

Annual maximum precipitation (inches) for one rain gauge in Fort Collins, Colorado from 1900 through 1999.
See Katz et al. (2002) Sec. 2.3.1 for more information and analyses.

datasets

General functions for performing extreme value analysis. In particular, allows for inclusion of covariates into the parameters of the extreme-value distributions, as well as estimation through MLE, L-moments, generalized (penalized) MLE (GMLE), as well as Bayes. Inference methods include parametric normal approximation, profile-likelihood, Bayes, and bootstrapping. Some bivariate functionality and dependence checking (e.g., auto-tail dependence function plot, extremal index estimation) is also included. For a tutorial, see Gilleland and Katz (2016) <doi: 10.18637/jss.v072.i08> and for bootstrapping, please see Gilleland (2020) <doi: 10.1175/JTECH-D-20-0070.1>.

Eric Gilleland

extRemes

Extreme Value Analysis

ftcanmax function

A data frame with 100 observations on the following 2 variables.<dl>
 <dt>Year</dt>
<dd>a numeric vector giving the Year.</dd> <dt>Prec</dt>
<dd>a numeric vector giving the annual maximum precipitation amount in inches.</dd> 
</dl>

Format

Annual Maximum Precipitation: Fort Collins, Colorado — ftcanmax

A data frame with 100 observations on the following 2 variables.<dl>
 <dt>Year</dt>
<dd>a numeric vector giving the Year.</dd>

 <dt>Prec</dt>
<dd>a numeric vector giving the annual maximum precipitation amount in inches.</dd>

 
</dl>

ftcanmax: Annual Maximum Precipitation: Fort Collins, Colorado

Description

Usage

Arguments

Format

References

Examples