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degradr: Estimating Remaining Useful Life with Linear Mixed Effects
Models
Provides tools for estimating the Remaining Useful Life (RUL) of degrading systems using linear mixed-effects models and creating a health index. It supports both univariate and multivariate degradation signals. For multivariate inputs, the signals are merged into a univariate health index prior to modeling. Linear and exponential degradation trajectories are supported (the latter using a log transformation). Remaining Useful Life (RUL) distributions are estimated using Bayesian updating for new units, enabling on-site predictive maintenance. Based on the methodology of Liu and Huang (2016) <doi:10.1109/TASE.2014.2349733>.
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.5) |
| Imports: |
dplyr, nlme, quadprog, ggplot2 |
| Published: |
2025-08-25 |
| DOI: |
10.32614/CRAN.package.degradr |
| Author: |
Pedro Abraham Montoya Calzada
 [aut, cre,
cph],
Rogelio Salinas Gutiérrez
[aut, cph],
Silvia Rodríguez-Narciso
[aut, cph],
Netzahualcóyotl Castañeda-Leyva
[aut, cph] |
| Maintainer: |
Pedro Abraham Montoya Calzada <pedroabraham.montoya at gmail.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
degradr results |
Documentation:
Downloads:
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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.
Health stats visible at Monitor.