From 16b8e23ecb7810df3592349bb8fbdf91f5f89b79 Mon Sep 17 00:00:00 2001 From: hannajankowski Date: Fri, 29 Jul 2022 10:47:02 -0400 Subject: Add files via upload --- man/WP_unknown.Rd | 25 +++++++++++++++++++++++++ 1 file changed, 25 insertions(+) create mode 100644 man/WP_unknown.Rd (limited to 'man/WP_unknown.Rd') diff --git a/man/WP_unknown.Rd b/man/WP_unknown.Rd new file mode 100644 index 0000000..c3872d6 --- /dev/null +++ b/man/WP_unknown.Rd @@ -0,0 +1,25 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/WP_unknown.R +\name{WP_unknown} +\alias{WP_unknown} +\title{WP method background function WP_unknown} +\usage{ +WP_unknown(NT, B = 100, shape.max = 10, scale.max = 10, tol = 0.999) +} +\arguments{ +\item{NT}{vector of case counts} + +\item{B}{length of grid for shape and scale (grid search parameter)} + +\item{shape.max}{maximum shape value (grid search parameter)} + +\item{scale.max}{maximum scale value (grid search parameter)} + +\item{tol}{cutoff value for cumulative distribution function of the serial distribution, defaults to 0.999} +} +\value{ +The function returns \code{Rhat}, the maximum likelihood estimator of R0, as well as the maximum likelihood estimator of the discretized serial distribution given by \code{p} (the probability mass function) and \code{range.max} (the distribution has support on the integers one to \code{range.max}). The function also returns \code{resLL} (all values of the log-likelihood) at \code{shape} (grid for shape parameter) and at \code{scale} (grid for scale parameter), as well as \code{resR0} (the full vector of maximum likelihood estimators), \code{JJ} (the locations for the likelihood for these), and \code{J0} (the location for the maximum likelihood estimator \code{Rhat}). If \code{JJ} and \code{J0} are not the same, this means that the maximum likelihood estimator is not unique. +} +\description{ +This is a background/internal function called by \code{WP}. It computes the maximum likelihood estimator of R0 assuming that the serial distribution is unknown but comes from a discretized gamma distribution. The function then implements a simple grid search algorithm to obtain the maximum likelihood estimator of R0 as well as the gamma parameters. +} -- cgit v1.2.3