future.apply: Parallel Function Application for R

An R software package implementing parallel versions of base-R apply functions, such as lapply() and mapply(), using the future framework. The package was authored by Henrik Bengtsson and is documented in a 2021 R Journal article. The dataset nature is inferred from the platform and description; specific data volume and structure are not provided.

Use Cases

• Parallelizing data transformation tasks based on the described apply() function implementations
• Scaling statistical simulations using the described replicate() function on distributed backends
• Accelerating list operations across multiple cores based on the described future_lapply() functionality

Strengths

• Implements a comprehensive suite of parallel apply functions matching base-R counterparts
• Supports multiple backends, including local parallel and distributed cluster processing
• Documented in a peer-reviewed R Journal article from 2021

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download
• Row count and column definitions are unknown, which may limit suitability assessment

Provenance

Source

Henrik Bengtsson

Collection Method

Software package implementation and publication.

Time Range

Publication referenced is from 2021.

Freshness

Last update date is unknown; freshness unverified

Geography

Global (software package).