#' @importFrom assertthat assert_that
#' @importFrom reticulate py_to_r py_to_r_wrapper import
#' @importFrom basilisk BasiliskEnvironment basiliskStart basiliskRun basiliskStop
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#' @name snifter
#'
#' @title snifter: fast interpolated t-SNE in R
#'
#' @description
#' An R package for running openTSNE's implementation of fast interpolated
#' t-SNE.
#' @references
#' openTSNE: a modular Python library for t-SNE dimensionality reduction and
#' embedding
#' Pavlin G. Poličar, Martin Stražar, Blaž Zupan
#' bioRxiv (2019) 731877; doi: \url{https://doi.org/10.1101/731877}
#'
#' Fast interpolation-based t-SNE for improved visualization of single-cell
#' RNA-seq data
#' George C. Linderman, Manas Rachh, Jeremy G. Hoskins, Stefan Steinerberger,
#' and Yuval Kluger
#' Nature Methods 16, 243–245 (2019)
#' doi: \url{https://doi.org/10.1038/s41592-018-0308-4}
#'
#' Accelerating t-SNE using Tree-Based Algorithms
#' Laurens van der Maaten
#' Journal of Machine Learning Research (2014)
#' \url{http://jmlr.org/papers/v15/vandermaaten14a.html}
#' @docType package
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