-
R-RUnit-0.4.26-13.lbn25.noarch
R functions implementing a standard Unit Testing framework, with additional
code inspection and report generation tools
Located in
LBN
/
…
/
Big Data
/
BastionLinux 25
-
R-RUnit-0.4.32-8.fc36.noarch
R functions implementing a standard Unit Testing framework, with additional
code inspection and report generation tools.
Located in
LBN
/
…
/
Big Data
/
BastionLinux 36
-
R-rversions-1.0.3-1.lbn25.noarch
Query the main 'R' 'SVN' repository to find the versions 'r-release' and
'r-oldrel' refer to, and also all previous 'R' versions and their release
Located in
LBN
/
…
/
Big Data
/
BastionLinux 25
-
R-rversions-2.1.1-6.fc36.noarch
Query the main 'R' 'SVN' repository to find the versions 'r-release' and
'r-oldrel' refer to, and also all previous 'R' versions and their release
dates.
Located in
LBN
/
…
/
Big Data
/
BastionLinux 36
-
R-rvest-0.3.2-1.lbn25.noarch
Wrappers around the 'xml2' and 'httr' packages to make it easy to
download, then manipulate, HTML and XML.
Located in
LBN
/
…
/
Big Data
/
BastionLinux 25
-
R-rvest-1.0.0-4.fc36.noarch
Wrappers around the 'xml2' and 'httr' packages to make it easy to download,
then manipulate, HTML and XML.
Located in
LBN
/
…
/
Big Data
/
BastionLinux 36
-
R-S4Vectors-0.10.3-1.lbn19.x86_64
The S4Vectors package defines the Vector and List virtual classes and a set of
generic functions that extend the semantic of ordinary vectors and lists in R.
Package developers can easily implement vector-like or list-like objects as
concrete subclasses of Vector or List. In addition, a few low-level concrete
subclasses of general interest (e.g. DataFrame, Rle, and Hits) are implemented
in the S4Vectors package itself (many more are implemented in the IRanges
package and in other Bioconductor infrastructure packages).
Located in
LBN
/
…
/
Big Data
/
BastionLinux 19
-
R-S4Vectors-0.16.0-1.lbn25.x86_64
The S4Vectors package defines the Vector and List virtual classes and a set of
generic functions that extend the semantic of ordinary vectors and lists in R.
Package developers can easily implement vector-like or list-like objects as
concrete subclasses of Vector or List. In addition, a few low-level concrete
subclasses of general interest (e.g. DataFrame, Rle, and Hits) are implemented
in the S4Vectors package itself (many more are implemented in the IRanges
package and in other Bioconductor infrastructure packages).
Located in
LBN
/
…
/
Big Data
/
BastionLinux 25
-
R-S4Vectors-0.30.0-3.fc36.x86_64
The S4Vectors package defines the Vector and List virtual classes and a set of
generic functions that extend the semantic of ordinary vectors and lists in R.
Package developers can easily implement vector-like or list-like objects as
concrete subclasses of Vector or List. In addition, a few low-level concrete
subclasses of general interest (e.g. DataFrame, Rle, and Hits) are implemented
in the S4Vectors package itself (many more are implemented in the IRanges
package and in other Bioconductor infrastructure packages).
Located in
LBN
/
…
/
Big Data
/
BastionLinux 36
-
R-sandwich-2.3.0-4.lbn19.noarch
Model-robust standard error estimators for cross-sectional, time series
and longitudinal data.
Located in
LBN
/
…
/
Big Data
/
BastionLinux 19
