Scientific computing for out-of-memory signals and images
Toolbox for out-of-memory scientific computing and data visualization, providing memory-efficient file-based data structures for dense and sparse vectors, matrices, and arrays with applications to nonuniformly sampled signals and images.
The Matter package provides flexible data structures for out-of-memory computing on dense and sparse arrays, with specialized features designed specifically for computing on nonuniform signals such as mass spectra and other spectral data, as well as hyperspectral images.
Matter 2 has been updated to provide a more robust C++ backend to out-of-memory matter
objects, along with a completely new implementation of sparse arrays. Tools for signal processing, dimension reduction, and data visualization are also provided.
Matter can be installed via the BiocManager package.
```{r install, eval=FALSE} if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager")
BiocManager::install("matter")
The same function can be used to update *Matter* and other Bioconductor packages.
Once installed, *Matter* can be loaded with `library()`:
```{r library, eval=FALSE}
library(matter)
The Bioconductor development version of Matter can also be installed via the BiocManager package.
```{r install, eval=FALSE} BiocManager::install("matter", version="devel")
This version is unstable and should not be relied on for critical work. However, it is typically more stable than Github version.
### Github Devel
The most cutting edge version of *Matter* can be installed from Github via the *remotes* package.
```{r install, eval=FALSE}
if (!require("remotes", quietly = TRUE))
install.packages("remotes")
remotes::github_install("kuwisdelu/matter")
This version is unstable and only recommended for developers.
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