epiR: Tools for the Analysis of Epidemiological Data

Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.

Package details

AuthorMark Stevenson <mark.stevenson1@unimelb.edu.au> and Evan Sergeant <evansergeant@gmail.com> with contributions from Telmo Nunes, Cord Heuer, Jonathon Marshall, Javier Sanchez, Ron Thornton, Jeno Reiczigel, Jim Robison-Cox, Paola Sebastiani, Peter Solymos, Kazuki Yoshida, Geoff Jones, Sarah Pirikahu, Simon Firestone, Ryan Kyle, Johann Popp, Mathew Jay, Charles Reynard, Allison Cheung, Nagendra Singanallur and Aniko Szabo.
MaintainerMark Stevenson <mark.stevenson1@unimelb.edu.au>
LicenseGPL (>= 2)
Version2.0.35
URL https://fvas.unimelb.edu.au/research/groups/veterinary-epidemiology-melbourne and https://www.ausvet.com.au/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("epiR")

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epiR documentation built on Sept. 16, 2021, 9:07 a.m.