forvis/PdM: R package for predictive maintenance in industry 4.0 concept

Contains tools to analyze data (to load, summarize and visualize multiple multivariate time series sensor data), to prepare data (for data preparation, including data cleaning, feature engineering and data transforms), to build and evaluate predictive maintenance models (for using a large number of machine learning agorithms which are available in R, including linear, non-linear, trees, esembles for regression, algorithm evaluation and model selection).

install.packages("remotes")
remotes::install_github("forvis/PdM")