The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

SPREDA: Statistical Package for Reliability Data Analysis

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.

Version: 1.1
Depends: survival, nlme
Published: 2018-11-25
DOI: 10.32614/CRAN.package.SPREDA
Author: Yili Hong, Yimeng Xie, and Zhibing Xu
Maintainer: Yili Hong <yilihong at vt.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: SPREDA results

Documentation:

Reference manual: SPREDA.pdf

Downloads:

Package source: SPREDA_1.1.tar.gz
Windows binaries: r-devel: SPREDA_1.1.zip, r-release: SPREDA_1.1.zip, r-oldrel: SPREDA_1.1.zip
macOS binaries: r-release (arm64): SPREDA_1.1.tgz, r-oldrel (arm64): SPREDA_1.1.tgz, r-release (x86_64): SPREDA_1.1.tgz, r-oldrel (x86_64): SPREDA_1.1.tgz
Old sources: SPREDA archive

Reverse dependencies:

Reverse suggests: ciTools

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SPREDA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.