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Special-Purpose Software: potMax Analysis
Introduction - potMax R is a general purpose software environment for statistical computing and graphics that is widely used in the statistical community. The R package potMax provides an estimation procedure for the distribution of the peak (maximum) value of a stationary, but otherwise fairly general, time series. It may also be used to calculate return values. The model that forms the basis of this procedure is a two dimensional Poisson process that is appropriate, in an asymptotic sense, for modeling the extremes of a random process. One dimension of the Poisson process is time since the target data sets are time series. An example of the second dimension is the pressure exerted by wind on a scale model of a building in a wind tunnel. The motivation for this R package are such time series, and all the data sets provided with this package are examples of wind tunnel data.

The methodology behind this package is discussed in the following paper

    Duthinh, Dat, Simiu, Emil, and Pintar, Adam (2017) "Estimating Peaks of Stationary Random Processes: A Peaks-over-Threshold Approach," ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, Vol. 3, No. 4, 04017028, (PDF format).
Download potMax Software The potMax software can be download from the following github site

To install the potMax package, R must already installed on your local system. For installation instructions, select the README.md link from this page.

This package has been tested for both Windows and Linux systems.

For convenience,the vignette for the potMax package can be viewed here (PDF format).

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Date created: 03/28/2019
Last updated: 04/26/2023
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