Formula 1 pit stop data. The package provides information on teams and drivers across seasons (2025 or higher). It also includes a function to visualize pit stop performance.

Allows users to create and deploy the workflow with multiple functions
    in Function-as-a-Service (FaaS) cloud computing platforms.
    The 'FaaSr' package makes it simpler for R developers to use FaaS platforms by providing the following functionality:
    1) Parsing and validating a JSON-based payload compliant to 'FaaSr' schema supporting multiple FaaS platforms
    2) Invoking user functions written in R in a Docker container (derived from rocker), using a list generated from
       the parser as argument
    3) Downloading/uploading of files from/to S3 buckets using simple primitives
    4) Logging to files in S3 buckets
    5) Triggering downstream actions supporting multiple FaaS platforms
    6) Generating FaaS-specific API calls to simplify the registering of a user's workflow with a FaaS platform
    Supported FaaS platforms:
    Apache OpenWhisk <https://openwhisk.apache.org/>
    GitHub Actions <https://github.com/features/actions>
    Amazon Web Services (AWS) Lambda <https://aws.amazon.com/lambda/>
    Supported cloud data storage for persistent storage:
    Amazon Web Services (AWS) Simple Storage Service (S3) <https://aws.amazon.com/s3/>.

Frequentist assisted by Bayes (FAB) confidence interval
    construction. See 'Adaptive multigroup confidence intervals with constant
    coverage' by Yu and Hoff <DOI:10.1093/biomet/asy009> and  
    'Exact adaptive confidence intervals for linear regression coefficients'
    by Hoff and Yu <DOI:10.1214/18-EJS1517>.

Frequentist assisted by Bayes (FAB) p-values and confidence 
 interval construction. See 
 Hoff (2019) <arXiv:1907.12589> 
 "Smaller p-values via indirect information",
 Hoff and Yu (2019) <doi:10.1214/18-EJS1517> 
 "Exact adaptive confidence intervals for linear regression coefficients", and
 Yu and Hoff (2018) <doi:10.1093/biomet/asy009> 
 "Adaptive multigroup confidence intervals with constant coverage".