monotone_smoother: Calculate a monotone probability mass function estimate

In prevtoinc: Prevalence to Incidence Calculations for Point-Prevalence Studies in a Nosocomial Setting

Calculate a monotone probability mass function estimate

Description

using a rearrangement or a Grenander estimator as described in Jankoswski, Wellner, 2009 <doi:10.1214/09-EJS526>

Usage

monotone_smoother(values, method = "rear", range = c(1, max(values)))

Arguments

values	observed values of distribution
method	method of estimation "rear" rearrangement or "gren" Grenander
range	boundaries of the support of the distribution

Value

vector of estimated pmf (support of distribution is by default assumed to be min(values):max(values) )

Examples

# generate sample from geometric distribution
A <- rgeom(50, 0.2)
# plot empirical probability mass function
plot(epmf(A))
dist.A.gren <- monotone_smoother(A, method = "gren")
# plot estimated probability mass function
points(dist.A.gren, col = "red")

prevtoinc documentation built on Sept. 3, 2026, 5:07 p.m.