predictive-fleet-maintenance/environment.yml at main · sourabhgithubcode/predictive-fleet-maintenance · GitHub

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name: fleet-maintenance
channels:
  - conda-forge
  - r
  - defaults
dependencies:
  # R environment
  - r-base=4.3.*

  # Core R packages
  - r-essentials

  # Data manipulation and processing
  - r-dplyr
  - r-tidyr
  - r-readr
  - r-readxl
  - r-data.table
  - r-purrr
  - r-tibble
  - r-stringr
  - r-forcats
  - r-janitor

  # Date/Time handling
  - r-lubridate

  # Visualization
  - r-ggplot2
  - r-scales
  - r-gridextra
  - r-patchwork

  # Machine Learning and Statistical Modeling
  - r-randomforest
  - r-ranger
  - r-caret
  - r-e1071

  # Clustering and Dimensionality Reduction
  - r-cluster
  - r-umap

  # Survival Analysis
  - r-survival
  - r-survminer

  # Model Evaluation
  - r-proc
  - r-broom

  # Data Exploration and Validation
  - r-skimr
  - r-naniar
  - r-corrplot

  # Interactive Dashboards
  - r-shiny
  - r-shinydashboard
  - r-dt
  - r-flexdashboard

  # Formatting and Presentation
  - r-formattable
  - r-knitr
  - r-rmarkdown

  # Deployment
  - r-rsconnect

  # Specialty packages
  - r-fmsb
  - r-fastdummies
  - r-waffle

  # Python (optional, for hybrid workflows)
  - python=3.11
  - pip

  # Pip-only packages
  - pip:
    - jupyter
    - jupyterlab