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extRemes (version 1.65)
Extreme value toolkit.
Description
This toolkit provides a Graphical User Interface (GUI) to various functions for doing extreme value analysis.
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Install
install.packages('extRemes')
Monthly Downloads
2,871
Version
1.65
License
GPL (>= 2)
Maintainer
Eric Gilleland
Last Published
October 6th, 2012
Functions in extRemes (1.65)
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Peak
Salt River Peak Stream Flow
dclust
Decluster Data by Runs Declustering
shiftplot
Shift Plot Between Two Sets of Data
FtCoPrec
Daily precipitation amounts in Fort Collins, Colorado.
Rsum
Hurricane Frequency Dataset.
Flood
United States Total Economic Damage Resulting from Floods
Denmint
Denver Minimum Temperature
gpdrlgradient
Gradient for the GPD Return Level
Denversp
Denver July hourly precipitation amount.
HEAT
Summer Maximum and Minimum Temperature: Phoenix, Arizona
ftcanmax
Annual Maximum Precipitation: Fort Collins, Colorado
decluster.runs
Declustering Extremes
rlplot
Return Level Plot for a Fitted Object of an Extreme-Value Distribution
gevrlgradient
GEV Return Level Function Gradient
exi.intervals
Extremal Index Estimator
PORTw
Daily Maximum and Minimum Temperature
extRemes
extRemes -- The Extremes Toolkit: Weather and Climate Applications of Extreme-Value Statistics
gen.gev
Simulate Data from a Generalized Extreme Value (GEV) Distribution
boot.matrix
Boot Matrices.
extremalindex
Estimate the Extremal Index (theta)
eiAnalyze
Extremal Index Analysis
Ozone4H
Ground-Level Ozone Order Statistics.
qqplot
qq-plot Between Two Vectors of Data with 95 Percent Confidence Bands
extRemes internal
extRemes internal and secondary functions
FCwx
Fort Collins, Colorado Weather Data
damage
Hurricane Damage Data
gev.effective.rl
Cacluate the Effective Return Levels for a Non-Stationary GEV (or GPD) Model.
as.extRemesDataObject
Convert a Data Frame, Matrix or Vector to an extRemes Data Object
Potomac
Potomac River Peak Stream Flow Data.
clearlog
Clear File extRemes.log
Tphap
Daily Maximum and Minimum Temperature in Phoenix, Arizona.
bisearch
Simple Bisection Search.
gev.parameterCI
Return Level and Shape Parameter Confidence Intervals for GEV (or GP) Distribution.
boot.sequence
Bootstrap a Sequence.
extremes.gui
Open the Toolkit Main Dialog Window
return.level
Compute m-year Return Levels for GEV and GPD Distributions with Confidence Bounds
qqnorm
Normal qq-plot with 95 Percent Simultaneous Confidence Bands