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R-mAr-1.1.2-11.lbn19.x86_64
R package:
An R add-on package for estimation of multivariate AR models through a
computationally-efficient stepwise least-squares algorithm (Neumaier
and Schneider, 2001); the procedure is of particular interest for
high-dimensional data without missing values such as geophysical
fields.
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R-mAr-1.1.2-14.lbn25.noarch
R package:
An R add-on package for estimation of multivariate AR models through a
computationally-efficient stepwise least-squares algorithm (Neumaier
and Schneider, 2001); the procedure is of particular interest for
high-dimensional data without missing values such as geophysical
fields.
Located in
LBN
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…
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Big Data
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BastionLinux 25
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R-mAr-1.1.2-27.fc36.noarch
R package:
An R add-on package for estimation of multivariate AR models through a
computationally-efficient stepwise least-squares algorithm (Neumaier
and Schneider, 2001); the procedure is of particular interest for
high-dimensional data without missing values such as geophysical
fields.
Located in
LBN
/
…
/
Big Data
/
BastionLinux 36
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R-markdown-0.8-4.lbn25.x86_64
Provides R bindings to the Sundown Markdown rendering library. Markdown is a
plain-text formatting syntax that can be converted to 'XHTML' or other formats.
Located in
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BastionLinux 25
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R-markdown-1.1-9.fc36.x86_64
Provides R bindings to the 'Sundown' Markdown rendering library
(<https://github.com/vmg/sundown>). Markdown is a plain-text formatting syntax
that can be converted to 'XHTML' or other formats. See
<http://en.wikipedia.org/wiki/Markdown> for more information about Markdown.
Located in
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BastionLinux 36
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R-matrixStats-0.52.2-3.lbn25.x86_64
High-performing functions operating on rows and columns of matrices, e.g.
col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized
per data type and for subsetted calculations such that both memory usage and
processing time is minimized. There are also optimized vector-based methods,
e.g. binMeans(), madDiff() and weightedMedian().
Located in
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BastionLinux 25
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R-matrixStats-0.59.0-3.fc36.x86_64
High-performing functions operating on rows and columns of matrices, e.g.
col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized
per data type and for subsetted calculations such that both memory usage and
processing time is minimized. There are also optimized vector-based methods,
e.g. binMeans(), madDiff() and weightedMedian().
Located in
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BastionLinux 36
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R-memoise-0.2.1-3.lbn19.noarch
Cache the results of a function so that when you call it again with the same
arguments it returns the pre-computed value.
Located in
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BastionLinux 19
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R-memoise-0.2.1-5.lbn25.noarch
Cache the results of a function so that when you call it again with the same
arguments it returns the pre-computed value.
Located in
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BastionLinux 25
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R-memoise-2.0.0-4.fc36.noarch
Cache the results of a function so that when you call it again with the same
arguments it returns the pre-computed value.
Located in
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BastionLinux 36
