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SPREDA (version 1.1)

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

1.1

License

GPL-2

Maintainer

Yili Hong

Last Published

November 25th, 2018

Functions in SPREDA (1.1)

lifetime.mle

Calculate MLE for Lifetime Distribution
i.spline.x

i_spline basis
testdata

Testdata
summary.Lifedata.MLE

Summaries of "Lifedata.MLE" Object
m.spline.x

M_splines basis
plotdeglmx

Plot function for the class of "deglmx".
plev

The Standard Largest Extreme Value Distribution
shock

Shock Absorber Failure Data
psev

The Standard Smallest Extreme Value Distribution
kaplan.meier.location

Kaplan-Meier Location
Lifedata.MLE

Parametric Fitting for Lifetime Data
Prod2.xt.dat

Dataset of covariate information of Produce 2.
MIC.splines.basis

Splines basis functions
deglmx

Functions for estimating parameters in the linear/nonlinear mixed models with dynamic covariates.
SPREDA-package

Statistical Package for Reliability Data Analysis
Prod2.fai.dat

Dataset of failure information of Product 2.
Coatingenv

Dynamic covariates for the coating data.
Coatingout

Dynamic covariates for coating data
ce.dat.prep

Create an object for cumulative exposure
cls

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