plev

dlev

qlev

rlev

The cdf, pdf, quantile function, and random number generation for the standard largest extreme value distribution.

The Statistical Package for REliability Data Analysis (SPREDA) implements recently-developed statistical methods for the analysis of reliability data. Modern technological developments, such as sensors and smart chips, allow us to dynamically track product/system usage as well as other environmental variables, such as temperature and humidity. We refer to these variables as dynamic covariates. The package contains functions for the analysis of time-to-event data with dynamic covariates and degradation data with dynamic covariates. The package also contains functions that can be used for analyzing time-to-event data with right censoring, and with left truncation and right censoring. Financial support from NSF and DuPont are acknowledged.

Yili Hong

SPREDA

Statistical Package for Reliability Data Analysis

Yimeng Xie

Zhibing Xu

plev function

<dl> <dt>z</dt>
<dd>Vector of values where the cdf or pdf to be evaluated.</dd>
 
 <dt>p</dt>
<dd>Vector of probabilities where the quantile function to be evaluated.</dd> <dt>n</dt>
<dd>Number of random samples. If input is a vector, then the number generated is the length of it.</dd></dl>

Arguments

Author

The Standard Largest Extreme Value Distribution — plev

<dl>

 <dt>z</dt>
<dd>Vector of values where the cdf or pdf to be evaluated.</dd>
 
 <dt>p</dt>
<dd>Vector of probabilities where the quantile function to be evaluated.</dd>

 <dt>n</dt>
<dd>Number of random samples. If input is a vector, then the number generated is the length of it.</dd>

</dl>

plev: The Standard Largest Extreme Value Distribution

Description

Usage

Value

Arguments

Author

See Also

Examples