Showing 3 open source projects for "apache"

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    sparklyr

    sparklyr

    R interface for Apache Spark

    sparklyr is an R package that provides seamless interfacing with Apache Spark clusters—either local or remote—while letting users write code in familiar R paradigms. It supplies a dplyr-compatible backend, Spark machine learning pipelines, SQL integration, and I/O utilities to manipulate and analyze large datasets distributed across cluster environments.
    Downloads: 1 This Week
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    reticulate

    reticulate

    R Interface to Python

    reticulate is an R package from Posit that creates seamless interoperability between R and Python. It lets you call Python modules, classes, and functions from within R, automatically translating between R and Python data structures. Useful for combining Python tooling with R projects, data analysis, and RMarkdown reports.
    Downloads: 0 This Week
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  • 3
    CausalImpact

    CausalImpact

    An R package for causal inference in time series

    The CausalImpact repository houses an R package that implements causal inference in time series using Bayesian structural time series models. Its goal is to estimate the effect of an intervention (e.g. a marketing campaign, policy change) on a time series outcome by predicting what would have happened in a counterfactual “no intervention” world. The package requires as input a response time series plus one or more control (covariate) time series that are assumed unaffected by the...
    Downloads: 0 This Week
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