Provides an I/O interface between R data.frames and
    Raven DataFrames. Defines functions to both read and write DataFrame
    files, as well as serialize/deserialize data.frames/DataFrames.

Defines the underlying pipeline structure for reproducible 
    neuroscience, adopted by 'RAVE' (reproducible analysis and visualization 
    of intracranial electroencephalography); provides high-level class 
    definition to build, compile, set, execute, and share analysis pipelines. 
    Both R and 'Python' are supported, with 'Markdown' and 'shiny' dashboard 
    templates for extending and building customized pipelines. See the full 
    documentations at <https://rave.wiki>; to cite us, 
    check out our paper by Magnotti, Wang, and Beauchamp (2020, 
    <doi:10.1016/j.neuroimage.2020.117341>), or run 
    citation("ravepipeline") for details.

Implementation of the R-Average method for parameter estimation of averaging models of the Anderson's Information Integration Theory by Vidotto, G., Massidda, D., & Noventa, S. (2010) <https://www.uv.es/psicologica/articulos3FM.10/3Vidotto.pdf>.

Implemented fast and memory-efficient Notch-filter, 
    Welch-periodogram, discrete wavelet spectrogram for minutes of 
    high-resolution signals, fast 3D convolution, image registration,
    3D mesh manipulation; providing fundamental toolbox for intracranial 
    Electroencephalography (iEEG) pipelines. 
    Documentation and examples about 'RAVE' project are provided at 
    <https://rave.wiki>, and the paper by John F. Magnotti, 
    Zhengjia Wang, Michael S. Beauchamp (2020) 
    <doi:10.1016/j.neuroimage.2020.117341>; see 'citation("ravetools")' for 
    details.

In order to facilitate R instruction for actuaries, we have organized several 
  sets of publicly available data of interest to non-life actuaries. In addition, we suggest 
  a set of packages, which most practicing actuaries will use routinely. Finally, there is 
  an R markdown skeleton for basic reserve analysis.

Assess LC–MS system performance by visualizing instrument log
    files and monitoring raw quality control samples within a project.