#' Latent Dirichlet Allocation Using 'tidyverse' Conventions
#' @description
#' Implements an algorithm for Latent Dirichlet Allocation (LDA)
#' using style conventions from the 'tidyverse' and specifically 'tidymodels'.
#' Also implements several novel features for LDA such as guided models and
#' transfer learning.
#' @name tidylda-package
#' @docType package
#' @keywords internal
NULL
# .onAttach <- function(libname, pkgname) {
# packageStartupMessage("tidylda is under active development. The API and behavior may change.")
# }
#' @import Rcpp
#' @importFrom gtools rdirichlet
#' @importFrom methods as
#' @importFrom Rcpp sourceCpp
#' @importFrom rlang .data
#' @importFrom stats median
#' @importFrom stringr str_replace_all
#' @importFrom tibble as_tibble
#' @importFrom tidyr pivot_longer
#' @importFrom tidyr %>%
#' @importFrom tidytext cast_dfm
#' @importFrom tidytext cast_dtm
#' @useDynLib "tidylda", .registration=TRUE
NULL
#' @importFrom generics augment
#' @export
generics::augment
#' @importFrom generics glance
#' @export
generics::glance
#' @importFrom generics tidy
#' @export
generics::tidy
#' @importFrom generics refit
#' @export
generics::refit
#' Abstracts and metadata from NIH research grants awarded in 2014
#' @name nih
#' @aliases nih_sample
#' @aliases nih_sample_dtm
#' @docType data
#' @description
#' This dataset holds information on research grants awarded by the National
#' Institutes of Health (NIH) in 2014. The data set was downloaded in
#' approximately January of 2015. It includes both 'projects' and 'abstracts'
#' files.
#' @usage
#' data("nih_sample")
#' @format
#' For \code{nih_sample}, a \code{\link[tibble]{tibble}} of 100 randomly-sampled
#' grants' abstracts and metadata. For \code{nih_sample_dtm}, a
#' \code{\link[Matrix]{dgCMatrix-class}} representing the document term matrix
#' of abstracts from 100 randomly-sampled grants.
#' @source
#' National Institutes of Health ExPORTER
#' \url{https://reporter.nih.gov/exporter}
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