As a successor of the packages BatchJobs and BatchExperiments, this package provides a parallel implementation of the Map function for high performance computing systems managed by schedulers IBM Spectrum LSF (), OpenLava (), Univa Grid Engine/Oracle Grid Engine (), Slurm (), TORQUE/PBS (), or Docker Swarm (). A multicore and socket mode allow the parallelization on a local machines, and multiple machines can be hooked up via SSH to create a makeshift cluster. Moreover, the package provides an abstraction mechanism to define large-scale computer experiments in a well-organized and reproduci...

An Option Manager for R. Contribute to markvanderloo/settings development by creating an account on GitHub.

:heavy_check_mark::interrobang: Validate JSON. Contribute to ropensci/jsonvalidate development by creating an account on GitHub.

Contribute to data-cleaning/validatetools development by creating an account on GitHub.

Professional data validation for the R environment - data-cleaning/validate

Data validation and organization of metadata for data frames and database tables - rich-iannone/pointblank

R package to store and retrieve objects from disk in a git-friendly format. - antoine-sachet/cacheR

HTTP query cache for R. Contribute to nealrichardson/httpcache development by creating an account on GitHub.

manage cached files. Contribute to ropensci/hoardr development by creating an account on GitHub.

Key-value caches for R. Contribute to r-lib/cachem development by creating an account on GitHub.

Cache CRAN-like metadata and package files. Contribute to r-lib/pkgcache development by creating an account on GitHub.

An R caching layer. Contribute to robertzk/cachemeifyoucan development by creating an account on GitHub.

Simplified R caching for reproducible big data projects - databio/simpleCache

:recycle: R package: R.cache - Fast and Light-weight Caching (Memoization) of Objects and Results to Speed Up Computations - HenrikBengtsson/R.cache

A set of tools for datasets and plots archiving. Contribute to pbiecek/archivist development by creating an account on GitHub.

Parallel Processing in R using a Thread Pool. Contribute to rdpeng/threadpool development by creating an account on GitHub.

:zap::computer::zap: R client for the Lightning Memory-Mapped Database - richfitz/thor

:package: Object cacher for R. Contribute to richfitz/storr development by creating an account on GitHub.

Install R packages from snapshots on checkpoint-server - RevolutionAnalytics/checkpoint

An R package for managing and seamlessly switching between sets of installed R packages. - gmbecker/switchr

Reproducible R Scripts Via Version-Specific CRAN-Package Storing and Loading - CredibilityLab/groundhog

Rbundler manages a project-specific library for dependency package installation. By specifying dependencies in a DESCRIPTION file in a project's root directory, one may install and use dependencies in a repeatable fashion without requiring manual maintenance. rbundler creates a project-specific R library in 'PROJECT_ROOT/.Rbundle' (by default) and a project-specific 'R_LIBS_USER' value, set in 'PROJECT_ROOT/.Renviron'. It supports dependency management for R standard "Depends", "Imports", "Suggests", and "LinkingTo" package dependencies. rbundler also attempts to validate and install versio...

R package to create internally consistent, mini version of CRAN - andrie/miniCRAN

The Data-Centered Data Flow manager for R. Contribute to franapoli/repo development by creating an account on GitHub.

Robust and efficient workflows using a simple language agnostic approach - sahilseth/flowr

A simple system for saving and loading objects in R. Long running computations can be stashed after the first run and then reloaded the next time. Dependencies can be added to ensure that a computation is re-run if any of its dependencies or inputs have changed.