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## Comment: General description of the package
#' Stereological Unfolding for Spheroidal Particles
#'
#' Stereological unfolding as implemented in this package consists of the estimation of the joint size-shape-orientation
#' distribution of spheroidal shaped particles based on the same measured quantities of corresponding vertical
#' section profiles. A single trivariate discretized version of the (stereological) integral equation in the case of prolate
#' and oblate spheroids is solved numerically by a variant of the well-known Expectation Maximization (EM) algorithm. In addition,
#' routines for estimating the empirical diameter distribution of spheres from planar sections (better known as the Wicksell's
#' corpuscle problem [3]) is also implemented. The package also provides functions for the simulation of Poisson germ-grain
#' processes with either spheroids, spherocylinders or spheres as grains including functions for planar and vertical sections
#' and digitization of section profiles.
#'
#' @docType package
#' @name unfoldr-package
#' @importFrom stats na.omit
#' @useDynLib unfoldr, .registration = TRUE, .fixes = "C_"
#'
#' @references
#' \enumerate{
#' \item Bene\eqn{\check{\textrm{s}}},
#' V. and Rataj, J. Stochastic Geometry: Selected Topics Kluwer Academic Publishers, Boston, 2004
#' \item Ohser, J. and Schladitz, K. 3D images of materials structures Wiley-VCH, 2009
#' \item Ohser, J. and Muecklich, F. Statistical analysis of microstructures in materials science J. Wiley & Sons, 2000
#' \item C. Lantu\eqn{\acute{\textrm{e}}}joul. Geostatistical simulation. Models and algorithms.
#' Springer, Berlin, 2002. Zbl 0990.86007
#' \item M\eqn{\textrm{\"u}}ller, A., Weidner, A., and Biermann, H. (2015). Influence of reinforcement
#' geometry on the very high-cycle fatigue behavior of aluminum-matrix-composites.
#' Materials Science Forum, 825/826:150-157
#' }
#'
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#' Intersection ellipses parameters
#'
#' The data set consists of section profile parameters (assumed to come from prolate spheroids) of fitted ellipses
#' based on measured section particles of an aluminium matrix composite [5] from metallographic analysis. The data
#' set can be used to reconstruct the trivariate spatial (prolate) spheroid distribution.
#'
#' @docType data
#' @keywords datasets
#' @name data15p
#' @usage data(data15p)
#' @format A matrix of columns named \code{A} (major semi-axis length), \code{C} (minor semi-axis length),
#' \code{S=C/A} (shape factor), \code{alpha} (polar angle in the intersecting plane) and coordinates \code{(x,y)}
#' of the centers of fitted ellipses.
#'
#' @author M. Baaske
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