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R-fortunes-1.5.4-12.fc36.noarch
A collection of fortunes from the R community.
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BastionLinux 36
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R-fts-0.9.9-1.lbn25.x86_64
fast operations for time series objects
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BastionLinux 25
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R-fts-0.9.9.2-11.fc36.x86_64
Fast operations for time series objects.
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BastionLinux 36
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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.
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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.
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BastionLinux 25
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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.
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BastionLinux 36
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R-futile.options-1.0.0-1.lbn19.noarch
A scoped options management framework
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BastionLinux 19
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R-futile.options-1.0.0-2.lbn25.noarch
A scoped options management framework.
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BastionLinux 25
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R-futile.options-1.0.1-8.fc36.noarch
A scoped options management framework.
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BastionLinux 36
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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.
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