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: | 1.0 |
Depends: | survival, nlme |
Published: | 2014-09-25 |
Author: | Yili Hong, Yimeng Xie, and Zhibing Xu |
Maintainer: | Yili Hong <yilihong at vt.edu> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | SPREDA results |
Reference manual: | SPREDA.pdf |
Package source: | SPREDA_1.0.tar.gz |
Windows binaries: | r-devel: SPREDA_1.0.zip, r-release: SPREDA_1.0.zip, r-oldrel: SPREDA_1.0.zip |
OS X El Capitan binaries: | r-release: SPREDA_1.0.tgz |
OS X Mavericks binaries: | r-oldrel: SPREDA_1.0.tgz |
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