![]() Binds to 'GDAL' for reading and writing data, to 'GEOS' for geometrical operations, and to 'PROJ' for projection conversions and datum transformations. sf – supports for simple features, a standardized way to encode spatial vector data. ![]() devtools – package development tool as well as helps to install R-packages from GitHub.knitr – dynamic reports combining R, TeX, Markdown & HTML.Plumber – enables you to convert your existing R code into web APIs by merely adding a couple of special comments.Reticulate – provides a comprehensive set of tools for interoperability between Python and R.Stringr – consistent, simple and easy-to-use set of wrappers around the 'stringi' package.Together with sparklyr’s dplyr interface, you can easily create and tune machine learning workflows on Spark, orchestrated entirely within R Sparklyr – provides bindings to Spark’s distributed machine learning library.Tidymodels – install and load tidyverse packages related to modeling and analysis.The R interface to TensorFlow lets you work productively using the high-level Keras and Estimator APIs and the core TensorFlow API TensorFlow – open-source software library for Machine Intelligence.flexdashboard – publish a group of related data visualizations as a dashboard. ![]() However, the platform supports mixing R with Python, shell scripts, SQL, Stan, JavaScript, CSS, Julia, C, Fortran, and other languages in the same RMarkdown document.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |