WebNov 2, 2024 · The CRAN Task View on Extreme Value Analysis provides information about R packages that perform various extreme value analyses. The lax package supplements the functionality of nine of these packages, namely eva (Bader and Yan 2024), evd (Stephenson 2002), evir (Pfaff and McNeil 2024), extRemes (Gilleland and Katz 2016), fExtremes …Web2 Extreme Value Analysis software packages List of Extreme Value Analysis (CRAN packages) bgeva: Binary Generalized Extreme Value Additive Models Author: Giampiero Marra, Raffaella Calabrese and Silvia Angela Osmetti (2015). R package version: 0.3 Description: Routine for fitting regression models for binary rare events with linear and …
The Comprehensive Guide to Installing R Packages from CRAN ...
License: GPL-2 GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no: Citation: kerdiest citation info: CRAN checks: kerdiest resultsWebNov 2, 2024 · Systematic fit of hundreds of theoretical univariate distributions to empirical data via maximum likelihood estimation. Fits are reported and summarized by a data.frame, a csv file or a " shiny' app (here with additional features like visual representation of fits). all output formats provide assessment goodness-of-fit by the following methods: …flash flood at the fizzies factory
hill function - RDocumentation
WebA numeric value is interpreted as the number of data values in each successive block. All the data is used, so the last block may not contain block observations. If the data has a times attribute containing (in an object of class "POSIXct", or an object that can be converted to that class; see as.POSIXct) the times/dates of each observation ... Webnumeric vector of data, which may have a times attribute containing (in an object of class "POSIXct", or an object that can be converted to that class; see as.POSIXct) the times/dates of each observation. If no times attribute exists, the data are assumed to be equally spaced. threshold. a threshold value (either this or nextremes must be given ...WebJul 15, 2024 · Afterwards, go to your GitHub repository, click on “Create a new release”, enter the version number of your package (vX.X.X) and copy-paste the release notes from your …flash flood aurora 1965