Denmint

Daily minimum temperature (degrees centigrade) for Denver, Colorado from 1949 through 1999.

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

Denmint function

A data frame with 18564 observations on the following 5 variables.<dl>
 <dt>Time</dt>
<dd>a numeric vector indicating the line number (time from first entry to the last).</dd> <dt>Year</dt>
<dd>a numeric vector giving the year.</dd> <dt>Mon</dt>
<dd>a numeric vector giving the month of each year.</dd> <dt>Day</dt>
<dd>a numeric vector giving the day of the month.</dd> <dt>Min</dt>
<dd>a numeric vector giving the minimum temperature in degrees Fahrenheit.</dd> 
</dl>

Format

Denver Minimum Temperature — Denmint

A data frame with 18564 observations on the following 5 variables.<dl>
 <dt>Time</dt>
<dd>a numeric vector indicating the line number (time from first entry to the last).</dd>

 <dt>Year</dt>
<dd>a numeric vector giving the year.</dd>

 <dt>Mon</dt>
<dd>a numeric vector giving the month of each year.</dd>

 <dt>Day</dt>
<dd>a numeric vector giving the day of the month.</dd>

 <dt>Min</dt>
<dd>a numeric vector giving the minimum temperature in degrees Fahrenheit.</dd>

 
</dl>

Denmint: Denver Minimum Temperature

Description

Usage

Arguments

Format

Examples