#' Decision Modelling Tools
#'
#' @description
#' A collection of functions to handle tasks commonly used in developing decision models.
#' \subsection{Probabilities and Rates}{
#' \code{\link{ProbToRate}} converts a cumulative probability over a given time frame to a rate.\cr\cr
#' \code{\link{RateToProb}} converts a rate to a cumulative probability over a given time frame.\cr\cr
#' \code{\link{ProbToOdds}} converts a probability to an odds.\cr\cr
#' \code{\link{OddsToProb}} converts an odds to a probability.
#' }
#'
#' \subsection{Distributions}{
#' \code{\link{estBetaParam}} estimates parameters for a beta distribution given a mean and standard deviation
#' using method of moments.\cr\cr
#' \code{\link{estGammaParam}} estimates parameters for a gamma distribution given a mean and standard deviation
#' using method of moments.\cr\cr
#' \code{\link{estLogNormParam}} estimates parameters for a lognormal distribution given one of:
#' \itemize{
#' \item mean and standard deviation, or
#' \item mean and lower/upper bounds of a 95\% confidence interval.
#' }
#' }
#' \subsection{Other}{
#' \code{\link{GetDiscount}} returns an instantaneous discount rate for a vector of time points. \cr\cr
#' \code{\link{roundToMult}} returns a vector of values rounded to the nearest multiple specified by the user.\cr\cr
#' \code{\link{convertFilepath}} converts backslashes in a Windows filepath to a character string
#' containng forward slashes.\cr\cr
#' \code{\link{lerp}} is a linear interpolation function that only uses two points on a curve. May be faster than the
#' base R function for decision models.
#' }
#' \subsection{Tools}{
#' \code{\link{fieller}} returns Fieller's confidence interval for a ratio of two vectors. \cr\cr
#' \code{\link{confintVector}} returns a confidence interval of a vector using a normal distribution.
#' }
#'
#' @docType package
#' @name modeltools
#' @author Austin Nam (\email{austin.nam@@mail.utoronto.ca})
#'
#' @import stats
NULL
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