Nothing
#' batchtma: Methods to address batch effects
#'
#' The goal of the batchtma is to provide functions for
#' batch effect-adjusting biomarker data. It implements different
#' methods that address batch effects while retaining differences
#' between batches that may be due to “true” underlying differences
#' in factors that drive biomarker values (confounders).
#'
#' @section Functions:
#'
#' \code{\link[batchtma]{adjust_batch}}: Adjust for batch effects
#'
#' \code{\link[batchtma]{diagnose_models}}: Model diagnostics after batch adjustment
#'
#' \code{\link[batchtma]{plot_batch}}: Plot biomarkers by batch
#'
#' @docType package
#' @name batchtma
#' @seealso \url{https://stopsack.github.io/batchtma/}
#' @references
#' Stopsack KH, Tyekucheva S, Wang M, Gerke TA, Vaselkiv JB, Penney KL,
#' Kantoff PW, Finn SP, Fiorentino M, Loda M, Lotan TL, Parmigiani G+,
#' Mucci LA+ (+ equal contribution). Extent, impact, and mitigation of
#' batch effects in tumor biomarker studies using tissue microarrays.
#' bioRxiv 2021.06.29.450369; doi: https://doi.org/10.1101/2021.06.29.450369
NULL
# > NULL
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.