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 |
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:
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Reverse dependencies:
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