Nothing
#' inbreedR: Workflows for analysing variance in inbreeding and HFCs based on SNP or microsatellite markers.
#'
#' @description
#'
#' \code{inbreedR} contains the following functions:
#'
#' \link{g2_microsats}
#' \link{g2_snps}
#' \link{convert_raw}
#' \link{check_data}
#' \link{r2_hf}
#' \link{r2_Wf}
#' \link{HHC}
#' \link{sMLH}
#' \link{MLH}
#' \link{simulate_g2}
#' \link{simulate_r2_hf}
#' \link{plot.inbreed}
#' \link{print.inbreed}
#'
#'
#' @details
#'
#' A correlation between heterozygosity (h) and fitness (W) requires a simultaneous effect of
#' inbreeding level (f) on both of them.
#' A heterozygosity-fitness correlation (HFC) thus is the product of two correlations,
#' which can be summarized in the following equation:
#'
#' \deqn{r(W, h) = r(W, f)r(h, f)}
#'
#' Estimating these parameters and their sensitivity towards the number and type of genetic markers used is the central framework
#' of the inbreedR package. At the heart of measuring inbreeding based on genetic markers is the g2 statistic, which estimates
#' the correlation of heterozygosity across markers, called identity disequilibrium (ID). ID is a proxy for inbreeding.
#'
#' The package has three main goals:
#'
#' \itemize{
#' \item Assessing identity disequilibria and the potential to detect heterozygosity-fitness correlations
#' \item Providing insights on the sensitivity of these measures based on the number/type of molecular markers used
#' \item Implementing computationally efficient functions in a flexible environment for analysing
#' inbreeding and HFC`s with both small and large datasets.
#' }
#'
#' For a short introduction to inbreedR start with the vignette:
#' \code{browseVignettes(package = "inbreedR")}
#'
#' @author Martin Stoffel (martin.adam.stoffel@@gmail.com), Mareike Esser (messer@@uni-bielefeld.de)
#'
#' @references
#' Slate, J., David, P., Dodds, K. G., Veenvliet, B. A., Glass, B. C., Broad, T. E., & McEwan, J. C. (2004).
#' Understanding the relationship between the inbreeding coefficient
#' and multilocus heterozygosity: theoretical expectations and empirical data. Heredity, 93(3), 255-265.
#'
#' Szulkin, M., Bierne, N., & David, P. (2010). HETEROZYGOSITY-FITNESS CORRELATIONS: A TIME FOR REAPPRAISAL.
#' Evolution, 64(5), 1202-1217.
#'
#' David, P., Pujol, B., Viard, F., Castella, V. and Goudet, J. (2007),
#' Reliable selfing rate estimates from imperfect population genetic data. Molecular Ecology,
#' 16: 2474
#'
#' Hoffman, J.I., Simpson, F., David, P., Rijks, J.M., Kuiken, T., Thorne, M.A.S., Lacey, R.C. & Dasmahapatra, K.K. (2014) High-throughput sequencing reveals inbreeding depression in a natural population.
#' Proceedings of the National Academy of Sciences of the United States of America, 111: 3775-3780.
#'
#' @docType package
#' @name inbreedR
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.