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SPREDA (version 1.2)

Statistical Package for Reliability Data Analysis

Description

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.

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Version

Install

install.packages('SPREDA')

Monthly Downloads

214

Version

1.2

License

GPL-2

Maintainer

Yili Hong

Last Published

March 29th, 2025

Functions in SPREDA (1.2)

testdata

Testdata
Coatingenv

Dynamic covariates for the coating data.
ce.dat.prep

Create an object for cumulative exposure
deglmx

Functions for estimating parameters in the linear/nonlinear mixed models with dynamic covariates.
Prod2.xt.dat

Dataset of covariate information of Produce 2.
Prod2.fai.dat

Dataset of failure information of Product 2.
i.spline.x

i_spline basis
MIC.splines.basis

Splines basis functions
Coatingout

Dynamic covariates for coating data
cls

Mixed primal-dual bases algorithm for estimation of parameters with restriction.
SPREDA-package

Statistical Package for Reliability Data Analysis
plev

The Standard Largest Extreme Value Distribution
plotdeglmx

Plot function for the class of "deglmx".
shock

Shock Absorber Failure Data
psev

The Standard Smallest Extreme Value Distribution
summary.Lifedata.MLE

Summaries of "Lifedata.MLE" Object
kaplan.meier.location

Kaplan-Meier Location
Lifedata.MLE

Parametric Fitting for Lifetime Data
lifetime.mle

Calculate MLE for Lifetime Distribution
m.spline.x

M_splines basis