R/fastpos-package.R

#' @details
#' In most cases you will just need the function [fastpos::find_critical_pos()]
#' which will you give you the critical point of stability for your specific
#' parameters. If you are interested in more complicated analysis you might want
#' to look at the function [fastpos::simulate_pos()], which is a C++
#' functions to calculate correlations and return points of stability.
#'
#' @references Schönbrodt, F. D. & Perugini, M. (2013). At what sample size do
#' correlations stabilize? *Journal of Research in Personality, 47*,
#' 609-612. \doi{10.1016/j.jrp.2013.05.009}
#'
#' Schönbrodt, F. D. & Perugini, M. (2018) Corrigendum to “At what sample size
#' do correlations stabilize?” \[J. Res. Pers. 47 (2013) 609–612.
#' https://doi.org/10.1016/j.jrp.2013.05.009\]. \emph{Journal of Research in
#' Personality, 74}, 194. \doi{10.1016/j.jrp.2018.02.010}
#' @keywords internal
"_PACKAGE"

## usethis namespace: start
#' @importFrom lifecycle deprecated
## usethis namespace: end
NULL

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fastpos documentation built on Aug. 16, 2022, 1:06 a.m.