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ravetools  

Signal Processing Toolbox for Analyzing "Electrophysiology" Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ravetools", "0.1.3")



Attach the package and use:
library("ravetools")
Maintained by
Zhengjia Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-14
Latest Update: 2023-07-16
Description:
Implemented fast and memory-efficient 'Notch'-filter, 'Welch-periodogram', discrete wavelet transform algorithm for hours of high-resolution signals, fast 3D convolution, and image alignment; providing fundamental toolbox for 'iEEG' pipelines. Documentation and examples about 'RAVE' project are provided at , and the paper by John F. Magnotti, Zhengjia Wang, Michael S. Beauchamp (2020) ; see 'citation("ravetools")' for details.
How to cite:
Zhengjia Wang (2022). ravetools: Signal Processing Toolbox for Analyzing "Electrophysiology" Data. R package version 0.1.3, https://cran.r-project.org/web/packages/ravetools
Previous versions and publish date:
0.0.2 (2022-02-14 20:40), 0.0.3 (2022-02-16 18:00), 0.0.4 (2022-05-30 00:40), 0.0.5 (2022-08-07 02:40), 0.0.6 (2022-08-25 10:20), 0.0.7 (2022-09-19 12:16), 0.0.8 (2022-10-14 14:00), 0.0.9 (2023-01-20 21:30), 0.1.0 (2023-02-18 18:50), 0.1.1 (2023-04-19 09:50), 0.1.2 (2023-07-16 21:20), 0.1.3 (2023-12-04 21:30)
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