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 |
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