plone

R-fts-0.9.9-1.lbn25.x86_64
fast operations for time series objects
Located in LBN / … / Big Data / BastionLinux 25
R-fts-0.9.9.2-11.fc36.x86_64
Fast operations for time series objects.
Located in LBN / … / Big Data / BastionLinux 36
R-futile.logger-1.4.3-1.lbn19.noarch
Provides a simple yet powerful logging utility. Based loosely on log4j, futile.logger takes advantage of R idioms to make logging a convenient and easy to use replacement for cat and print statements.
Located in LBN / … / Big Data / BastionLinux 19
R-futile.logger-1.4.3-2.lbn25.noarch
Provides a simple yet powerful logging utility. Based loosely on log4j, futile.logger takes advantage of R idioms to make logging a convenient and easy to use replacement for cat and print statements.
Located in LBN / … / Big Data / BastionLinux 25
R-futile.logger-1.4.3-15.fc36.noarch
Provides a simple yet powerful logging utility. Based loosely on log4j, futile.logger takes advantage of R idioms to make logging a convenient and easy to use replacement for cat and print statements.
Located in LBN / … / Big Data / BastionLinux 36
R-futile.options-1.0.0-1.lbn19.noarch
A scoped options management framework
Located in LBN / … / Big Data / BastionLinux 19
R-futile.options-1.0.0-2.lbn25.noarch
A scoped options management framework.
Located in LBN / … / Big Data / BastionLinux 25
R-futile.options-1.0.1-8.fc36.noarch
A scoped options management framework.
Located in LBN / … / Big Data / BastionLinux 36
R-future-1.8.0-1.lbn25.noarch
The purpose of this package is to provide a lightweight and unified Future API for sequential and parallel processing of R expression via futures. The simplest way to evaluate an expression in parallel is to use `x %<-% { expression }` with `plan(multiprocess)`. This package implements sequential, multicore, multisession, and cluster futures. With these, R expressions can be evaluated on the local machine, in parallel a set of local machines, or distributed on a mix of local and remote machines. Extensions to this package implement additional backends for processing futures via compute cluster schedulers etc. Because of its unified API, there is no need to modify any code in order switch from sequential on the local machine to, say, distributed processing on a remote compute cluster. Another strength of this package is that global variables and functions are automatically identified and exported as needed, making it straightforward to tweak existing code to make use of futures.
Located in LBN / … / Big Data / BastionLinux 25
R-future-1.24.0-1.fc36.noarch
The purpose of this package is to provide a lightweight and unified Future API for sequential and parallel processing of R expression via futures. The simplest way to evaluate an expression in parallel is to use `x %<-% { expression }` with `plan(multisession)`. This package implements sequential, multicore, multisession, and cluster futures. With these, R expressions can be evaluated on the local machine, in parallel a set of local machines, or distributed on a mix of local and remote machines. Extensions to this package implement additional backends for processing futures via compute cluster schedulers, etc. Because of its unified API, there is no need to modify any code in order switch from sequential on the local machine to, say, distributed processing on a remote compute cluster. Another strength of this package is that global variables and functions are automatically identified and exported as needed, making it straightforward to tweak existing code to make use of futures.
Located in LBN / … / Big Data / BastionLinux 36

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