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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 |
| 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_1.1.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 suggests: | ciTools |
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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.
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