Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, 'cgroups' and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.
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Dependency Anatomy Guide
Understanding Dependency Borders
Dependencies are visually distinguished by their border styles to help you understand their relationship to the current package:
Direct Dependencies
Thick solid border: These are dependencies directly specified in the package's DESCRIPTION file (Depends, Imports, Enhances, or LinkingTo).
Recursive Dependencies
Thin solid border: These are dependencies of dependencies (recursive/indirect dependencies). They are initially hidden but can be toggled with the switch button.
Version Constraint Conflicts
Thick border + Info icon: When both direct and recursive dependencies exist for the same package with different version constraints. This indicates the "true" version constraint for the package, as the recursive dependency requires the more strict version constraint.
Understanding the Info Icon
The yellow info circle appears when there are version constraint conflicts between direct and recursive dependencies for the same package. This helps give a more accurate picture of the version constraints for the dependencies of a given package.