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.

Tidy Data Validation Reports. Contribute to echasnovski/ruler 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.

cache http requests. Contribute to sckott/webmiddens 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.

Package to maintain a data cache. Contribute to jbryer/DataCache 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.

Simple Bootstrap Routines. Contribute to rdpeng/simpleboot 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.