checkmate - Fast and Versatile Argument Checks

Tests and assertions to perform frequent argument checks. A substantial part of the package was written in C to minimize any worries about execution time overhead.

Last updated 6 months ago

assertionstestthat

16.25 score 266 stars 1.9k dependents 1.5k scripts 284k downloads

backports - Reimplementations of Functions Introduced Since R-3.0.0

Functions introduced or changed since R v3.0.0 are re-implemented in this package. The backports are conditionally exported in order to let R resolve the function name to either the implemented backport, or the respective base version, if available. Package developers can make use of new functions or arguments by selectively importing specific backports to support older installations.

Last updated 5 months ago

backports

12.92 score 66 stars 3.2k dependents 174 scripts 383k downloads

batchtools - Tools for Computation on Batch Systems

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' (<https://www.ibm.com/products/hpc-workload-management>), 'OpenLava' (<https://www.openlava.org/>), 'Univa Grid Engine'/'Oracle Grid Engine' (<https://www.univa.com/>), 'Slurm' (<https://slurm.schedmd.com/>), 'TORQUE/PBS' (<https://adaptivecomputing.com/cherry-services/torque-resource-manager/>), or 'Docker Swarm' (<https://docs.docker.com/engine/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 reproducible way.

Last updated 2 years ago

batchexperimentsbatchjobsdocker-swarmhigh-performance-computinghpchpc-clusterslsfopenlavaparallel-computingreproducibilitysgeslurmtorque

11.17 score 174 stars 13 dependents 772 scripts 1.6k downloads

base64url - Fast and URL-Safe Base64 Encoder and Decoder

In contrast to RFC3548, the 62nd character ("+") is replaced with "-", the 63rd character ("/") is replaced with "_". The resulting encoded strings comply to the regular expression pattern "[A-Za-z0-9_-]" and thus are safe to use in URLs or for file names. The package also comes with a simple base32 encoder/decoder suited for case insensitive file systems.

Last updated 5 years ago

base32base64base64url

8.10 score 11 stars 65 dependents 15 scripts 7.9k downloads

mlr3filters - Filter Based Feature Selection for 'mlr3'

Extends 'mlr3' with filter methods for feature selection. Besides standalone filter methods built-in methods of any machine-learning algorithm are supported. Partial scoring of multivariate filter methods is supported.

Last updated 10 months ago

feature-selectionfilterfiltersmlrmlr3variable-importance

7.98 score 20 stars 3 dependents 95 scripts 3.1k downloads

BatchExperiments - Statistical Experiments on Batch Computing Clusters

Extends the BatchJobs package to run statistical experiments on batch computing clusters. For further details see the project web page.

Last updated 3 years ago

4.90 score 17 stars 47 scripts 450 downloads

mlr3db - Data Base Backend for 'mlr3'

Extends the 'mlr3' package with a backend to transparently work with databases such as 'SQLite', 'DuckDB', 'MySQL', 'MariaDB', or 'PostgreSQL'. The package provides two additional backends: 'DataBackendDplyr' relies on the abstraction of package 'dbplyr' to interact with most DBMS. 'DataBackendDuckDB' operates on 'DuckDB' data bases and also on Apache Parquet files.

Last updated 1 years ago

bigquerydata-backenddatabaseduckdbmachine-learningmariadbmlr3mysqlodbcpostgresqlsparksqlite

4.73 score 21 stars 17 scripts 413 downloads

fail - File Abstraction Interface Layer (FAIL)

More comfortable interface to work with R data or source files in a key-value fashion.

Last updated 9 years ago

3.48 score 6 stars 6 scripts 155 downloads