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#' Size Biased Distributions
#'
#' Fitting and plotting parametric or non-parametric size-biased
#' non-negative distributions, with optional covariates in the case of
#' parametric. Supports three parametric options, log-normal, Weibull, and gamma.
#'
#' @details
#' The core function is \code{\link{sbm}}, which fits a model to
#' non-negative observations to estimate the average of the underlying
#' distribution assuming that the probability of making an observation is
#' proportional to the size of that observation. The default gives a
#' non-parametric fit (the harmonic mean), and three parametric options are
#' also available: log-normal, Weibull, and gamma. Covariates can be included
#' in parametric models. The output is a list of class \code{sbm}, which has
#' methods \code{plot}, \code{predict}, \code{summary}, and \code{AIC}. The
#' functions were developed to support the analysis of speed observations from
#' camera trap data described by Rowcliffe et al. (2016).
#' @references
#' Patil, G. P. 2002 Weighted distributions. Pp. 2369–2377 in A.H. El-Shaarawi,
#' W. W. Piegorsch, eds. Encycolpedia of Environmetrics. Wiley, Chichester.
#'
#' Rowcliffe, J.M., Jansen, P.A., Kays, R., Kranstauber, B., and
#' Carbone, C. (2016). Wildlife speed cameras: measuring animal travel speed
#' and day range using camera traps. Remote Sensing in Ecology and
#' Conservation 2, 84-94.
#' @name sbd
"_PACKAGE"
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