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R-V8-3.4.2-4.fc36.x86_64
An R interface to V8: Google's open source JavaScript and WebAssembly engine.
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BastionLinux 36
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R-viridisLite-0.3.0-1.lbn25.noarch
Implementation of the 'viridis' - the default -, 'magma', 'plasma', 'inferno',
and 'cividis' color maps for 'R'. 'viridis', 'magma', 'plasma', and 'inferno'
are ported from 'matplotlib' <http://matplotlib.org/>, a popular plotting
library for 'Python'. 'cividis', was developed by Jamie R. Nuñez and Sean M.
Colby. These color maps are designed in such a way that they will analytically
be perfectly perceptually-uniform, both in regular form and also when converted
to black-and-white. They are also designed to be perceived by readers with the
most common form of color blindness (all color maps in this package) and color
vision deficiency ('cividis' only). This is the 'lite' version of the more
complete 'viridis' package.
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BastionLinux 25
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R-viridisLite-0.4.0-5.fc36.noarch
Color maps designed to improve graph readability for readers with common
forms of color blindness and/or color vision deficiency. The color maps are
also perceptually-uniform, both in regular form and also when converted to
black-and-white for printing. This is the 'lite' version of the 'viridis'
package that also contains 'ggplot2' bindings for discrete and continuous
color and fill scales and can be found at
<https://cran.r-project.org/package=viridis>.
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BastionLinux 36
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R-waveslim-1.7.5-6.lbn25.x86_64
Basic wavelet routines for time series (1D), image (2D)
and array (3D) analysis. The code provided here is based on
wavelet methodology developed in Percival and Walden (2000);
Gencay, Selcuk and Whitcher (2001); the dual-tree complex wavelet
transform (CWT) from Kingsbury (1999, 2001) as implemented by
Selesnick; and Hilbert wavelet pairs (Selesnick 2001, 2002). All
figures in chapters 4-7 of GSW (2001) are reproducible using this
package and R code available at the book website(s) below.
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BastionLinux 25
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R-waveslim-1.7.5-2.lbn19.x86_64
Basic wavelet routines for time series (1D), image (2D)
and array (3D) analysis. The code provided here is based on
wavelet methodology developed in Percival and Walden (2000);
Gencay, Selcuk and Whitcher (2001); the dual-tree complex wavelet
transform (CWT) from Kingsbury (1999, 2001) as implemented by
Selesnick; and Hilbert wavelet pairs (Selesnick 2001, 2002). All
figures in chapters 4-7 of GSW (2001) are reproducible using this
package and R code available at the book website(s) below.
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BastionLinux 19
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R-waveslim-1.8.2-8.fc36.x86_64
Basic wavelet routines for time series (1D), image (2D)
and array (3D) analysis. The code provided here is based on
wavelet methodology developed in Percival and Walden (2000);
Gencay, Selcuk and Whitcher (2001); the dual-tree complex wavelet
transform (CWT) from Kingsbury (1999, 2001) as implemented by
Selesnick; and Hilbert wavelet pairs (Selesnick 2001, 2002). All
figures in chapters 4-7 of GSW (2001) are reproducible using this
package and R code available at the book website(s) below.
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BastionLinux 36
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R-wavethresh-4.6.6-5.lbn19.x86_64
Software to perform 1-d and 2-d wavelet statistics and transforms
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BastionLinux 19
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R-wavethresh-4.6.8-17.fc36.x86_64
Software to perform 1-d and 2-d wavelet statistics and transforms
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BastionLinux 36
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R-wavethresh-4.6.8-3.lbn25.x86_64
Software to perform 1-d and 2-d wavelet statistics and transforms
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BastionLinux 25
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R-webp-0.4-1.lbn25.x86_64
Lossless webp images are 26% smaller in size compared to PNG. Lossy webp
images are 25-34% smaller in size compared to JPEG. This package reads and
writes webp images into a 3 (rgb) or 4 (rgba) channel bitmap array using
conventions from the 'jpeg' and 'png' packages.
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BastionLinux 25
