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RMSNumpress  

'Rcpp' Bindings to Native C++ Implementation of MS Numpress
View on CRAN: Click here


Download and install RMSNumpress package within the R console
Install from CRAN:
install.packages("RMSNumpress")

Install from Github:
library("remotes")
install_github("cran/RMSNumpress")

Install by package version:
library("remotes")
install_version("RMSNumpress", "1.0.1")



Attach the package and use:
library("RMSNumpress")
Maintained by
Justin Sing
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-11
Latest Update: 2021-02-04
Description:
'Rcpp' bindings to the native C++ implementation of MS Numpress, that provides two compression schemes for numeric data from mass spectrometers. The library provides implementations of 3 different algorithms, 1 designed to compress first order smooth data like retention time or M/Z arrays, and 2 for compressing non smooth data with lower requirements on precision like ion count arrays. Refer to the publication (Teleman et al., (2014) ) for more details.
How to cite:
Justin Sing (2020). RMSNumpress: 'Rcpp' Bindings to Native C++ Implementation of MS Numpress. R package version 1.0.1, https://cran.r-project.org/web/packages/RMSNumpress. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.0 (2020-11-11 14:30)
Other packages that cited RMSNumpress R package
View RMSNumpress citation profile
Other R packages that RMSNumpress depends, imports, suggests or enhances
Complete documentation for RMSNumpress
Functions, R codes and Examples using the RMSNumpress R package
Some associated functions: RMSNumpress-package . decodeLinear . decodePic . decodeSlof . encodeLinear . encodePic . encodeSlof . optimalLinearFixedPoint . optimalLinearFixedPointMass . optimalSlofFixedPoint . 
Some associated R codes: RcppExports.R .  Full RMSNumpress package functions and examples
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