What is your favorite R package and why?

This page summarizes the projects mentioned and recommended in the original post on /r/AskStatistics

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  • dlookr

    Tools for Data Diagnosis, Exploration, Transformation

  • dlookr for exploratory data analysis.

  • keyring

    :closed_lock_with_key: Access the system credential store from R (by r-lib)

  • keyring for managing secrets and credentials.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • renv

    renv: Project environments for R.

  • renv for managing packages in projects.

  • Prophet

    Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

  • prophet for timeseries forecasting.

  • ranger

    A Fast Implementation of Random Forests (by imbs-hl)

  • caret and tidymodels are one higher level of abstraction from glmnet. caret and tidymodels allow you to write reusable code that can apply to multiple different kinds of models like glmnet-style regularized regression, ranger-style random forests, mars-style regression, etc. This kind of abstraction is helpful when you're comparing different models or combining models and want to minimize new code written per model.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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