New Software to Analyze How Extremes Change Over Time

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How researchers see this paper

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ExtRemes 2.0: An extreme value analysis package in R (2016, methodology): “In this paper, we describe a new version (≥ 2.0) of the R (R Core Team 2013) package extRemes (Gilleland and Katz 2011), which is a major redesign from previous versions.”
Quantile-based bias correction and uncertainty quantification of extreme event attribution statements (2016, methodology): “To fit the model, we use the fevd routine of the R package, extRemes (Gilleland and Katz, 2011).”
Top ten European heatwaves since 1950 and their occurrence in the coming decades (2015, methodology): “The R code used to reproduce the example above has been recently included in the ‘hwmi’ and ‘hwmid’ functions of the R package called ‘extRemes’ (Gilleland and Katz 2011).”
Non-Stationary Frequency Analysis of Extreme Water Level: Application of Annual Maximum Series and Peak-over Threshold Approaches (2017, methodology): “These packages have the ability for non-stationary analysis as well as selecting/changing the values of the distribution model parameters (Gilleland et al. 2013). ismev package allows for the incorporation of non-stationarity (Gilleland and Katz 2011; Stephenson 2011).”