Other packages > Find by keyword >

SPREDA  

Statistical Package for Reliability Data Analysis
View on CRAN: Click here


Download and install SPREDA package within the R console
Install from CRAN:
install.packages("SPREDA")

Install from Github:
library("remotes")
install_github("cran/SPREDA")

Install by package version:
library("remotes")
install_version("SPREDA", "1.2")



Attach the package and use:
library("SPREDA")
Maintained by
Yili Hong
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-09-25
Latest Update: 2025-03-29
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.
How to cite:
Yili Hong (2014). SPREDA: Statistical Package for Reliability Data Analysis. R package version 1.2, https://cran.r-project.org/web/packages/SPREDA. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:25), 1.0 (2014-09-25 17:44), 1.1 (2018-11-25 18:50)
Other packages that cited SPREDA R package
View SPREDA citation profile
Other R packages that SPREDA depends, imports, suggests or enhances
Complete documentation for SPREDA
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA