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fweber144 committed Jul 1, 2022
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6 changes: 3 additions & 3 deletions R/misc.R
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Expand Up @@ -181,9 +181,9 @@ bootstrap <- function(x, fun = mean, B = 2000,
# subsampled (without replacement).
#
# @return Let \eqn{y} denote the response (vector), \eqn{N} the number of
# observations, and \eqn{S_{\mathrm{prj}}}{S_prj} the number of projected draws
# (= either `nclusters` or `ndraws`, depending on which one is used). Then the
# return value is a list with elements:
# observations, and \eqn{S_{\mathrm{prj}}}{S_prj} the number of projected
# draws (= either `nclusters` or `ndraws`, depending on which one is used).
# Then the return value is a list with elements:
#
# * `mu`: An \eqn{N \times S_{\mathrm{prj}}}{N x S_prj} matrix of expected
# values for \eqn{y} for each draw/cluster.
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4 changes: 2 additions & 2 deletions R/refmodel.R
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Expand Up @@ -143,8 +143,8 @@
#' The return value of these functions needs to be:
#' * `ref_predfun`: an \eqn{N \times S_{\mathrm{ref}}}{N x S_ref} matrix.
#' * `proj_predfun`: an \eqn{N \times S_{\mathrm{prj}}}{N x S_prj} matrix.
#' * `div_minimizer`: a `list` of length \eqn{S_{\mathrm{prj}}}{S_prj} containing
#' this number of submodel fits.
#' * `div_minimizer`: a `list` of length \eqn{S_{\mathrm{prj}}}{S_prj}
#' containing this number of submodel fits.
#'
#' # Argument `extract_model_data`
#'
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4 changes: 2 additions & 2 deletions man/refmodel-init-get.Rd

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