R/modi.R

In martinSter/modi: Multivariate Outlier Detection and Imputation for Incomplete Survey Data

#' modi: Multivariate outlier detection for incomplete survey data.
#'
#' The package modi is a collection of functions for multivariate outlier
#' detection and imputation. The aim is to provide a set of functions which
#' cope with missing values and take sampling weights into account. The original
#' functions were developed in the EUREDIT project. This work was partially
#' supported by the EU FP5 ICT programme, the Swiss Federal Office of Education
#' and Science and the Swiss Federal Statistical Office. Subsequent development
#' was in the AMELI project of the EU FP7 SSH Programme and also supported by the
#' University of Applied Sciences and Arts Northwestern Switzerland (FHNW).
#'
#' @section modi functions:
#' BACON-EEM algorithm in \code{BEM()}, Epidemic algorithm in \code{EAdet()} and
#' \code{EAimp()}, Transformed Rank Correlations in \code{TRC()}, Gaussian
#' imputation with MCD in \code{GIMCD()}.
#'
#' @references
#' Béguin, C., and Hulliger, B. (2004). Multivariate outlier detection in incomplete
#' survey data: The epidemic algorithm and transformed rank correlations. Journal of
#' the Royal Statistical Society, A167 (Part 2.), pp. 275-294.
#'
#' Béguin, C., and Hulliger, B. (2008). The BACON-EEM Algorithm for Multivariate
#' Outlier Detection in Incomplete Survey Data, Survey Methodology, Vol. 34, No. 1,
#' pp. 91-103.
#'
#' @docType package
#' @name modi
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