About the OML4R Supporting Packages

6.1.3 About the OML4R Supporting Packages

The supporting packages are a set of open source packages that support the OML4R packages.

Table 6-2 OML4R Supporting Packages

Package Name	Description
`arules`	Provides the infrastructure for representing, manipulating, and analyzing transactional data and patterns (frequent itemsets and association rules).
`Cairo`	Supports graphic rendering on an OML4R server.
`DBI`	A database interface definition for communication between R and Oracle Database.
`png`	Supports the reading and writing of PNG images for OML4R objects.
`ROracle`	Oracle Database interface for R-based OCI.
`statmod`	Provides statistical modeling functions, including growth curve comparisons, limiting dilution analysis, mixed linear models, heteroscedastic regression, Tweedie family generalized linear models, the inverse-Gaussian distribution and Gauss quadrature.
`dplyr`	Provides fast, consistent tool for working with data frame like objects, both in memory and out of memory
`assertthat`	Provides the assertion functions that should return a single TRUE or FALSE: any other result is an error.
`cli`	Provides the functions to create a consistent and convenient command line interface
`crayon`	With crayon it is easy to add color to terminal output, create styles for notes, warnings, errors; and combine styles.
`ellipsis`	Provides a collection of functions to catch problems and alert the user.
`fansi`	Counterparts to R string manipulation functions that account for the effects of some ANSI X3.64 (a.k.a. ECMA-48, ISO-6429) control sequences.
`generics`	These are generic functions that can be used to minimize package dependencies when multiple packages have the same method.
`glue`	Expressions enclosed by braces will be evaluated as R code. Long strings are broken by line and concatenated together. Leading whitespace and blank lines from the first and last lines are automatically trimmed.
`lazyeva`	Provides the tools necessary to do non-standard evaluation (NSE) "right" in R
`lifecycle`	Manage the life cycle of your exported functions with shared conventions, documentation badges, and user-friendly deprecation warnings.
`magrittr`	The magrittr package offers a set of operators which promote semantics that will improve your code by structuring sequences of data operations left-to-right (as opposed to from the inside and out), avoiding nested function calls, minimizing the need for local variables and function definitions, and making it easy to add steps anywhere in the sequence of operations.
`pillar`	Creates an object that formats a vector. The output uses one row for a title (if given), one row for the type, and ‘vec_size(x)’ rows for the data.
`pkgconfig`	This package is meant to be used in other packages, and provides configuration options for them.
`png`	Graphics devices for BMP, JPEG, PNG and TIFF format bitmap files.
`purrr`	A complete and consistent functional programming toolkit for R.
`rlang`	A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
`tibble`	Provides utilities for handling tibbles, where "tibble" is a colloquial term for the S3 tbl_df class.
`tidyselect`	A backend for the selecting functions of the 'tidyverse'. It makes it easy to implement select-like functions in your own packages in a way that is consistent with other 'tidyverse' interfaces for selection.
`utf`	Provides functions for manipulating and printing UTF-8 text that fixes multiple bugs in R's UTF-8 handling.
`vctrs`	Defines new notions of prototype and size that are used to provide tools for consistent and well-founded type-coercion and size-recycling, and are in turn connected to ideas of type- and size-stability useful for analysing function interfaces.

Parent topic: About OML4R Client