Other packages > Find by keyword >

epiR  

Tools for the Analysis of Epidemiological Data
View on CRAN: Click here


Download and install epiR package within the R console
Install from CRAN:
install.packages("epiR")

Install from Github:
library("remotes")
install_github("cran/epiR")

Install by package version:
library("remotes")
install_version("epiR", "2.0.98")



Attach the package and use:
library("epiR")
Maintained by
Mark Stevenson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2008-03-24
Latest Update: 2025-07-24
Description:
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.
How to cite:
Mark Stevenson (2008). epiR: Tools for the Analysis of Epidemiological Data. R package version 2.0.98, https://cran.r-project.org/web/packages/epiR. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-10-01 11:20), 0.9-3 (2008-03-24 22:33), 0.9-4 (2008-04-07 08:45), 0.9-5 (2008-04-29 08:49), 0.9-6 (2008-05-08 09:13), 0.9-8 (2008-07-09 11:16), 0.9-9 (2008-08-18 19:55), 0.9-10 (2008-08-21 18:50), 0.9-11 (2008-10-08 09:11), 0.9-14 (2008-12-19 08:51), 0.9-15 (2009-03-31 08:34), 0.9-16 (2009-05-24 10:36), 0.9-17 (2009-06-02 19:28), 0.9-18 (2009-06-25 09:25), 0.9-19 (2009-08-10 08:34), 0.9-22 (2009-12-09 09:53), 0.9-26 (2010-07-24 22:15), 0.9-27 (2010-09-20 09:40), 0.9-32 (2011-05-10 06:21), 0.9-35 (2012-01-11 08:02), 0.9-36 (2012-01-24 07:50), 0.9-38 (2012-02-02 08:41), 0.9-40 (2012-04-05 07:56), 0.9-43 (2012-05-29 08:37), 0.9-45 (2012-12-05 07:57), 0.9-46 (2013-03-17 07:41), 0.9-48 (2013-04-08 07:22), 0.9-51 (2013-11-20 14:04), 0.9-53 (2014-01-06 07:18), 0.9-54 (2014-01-08 09:21), 0.9-56 (2014-01-27 15:31), 0.9-57 (2014-02-04 22:44), 0.9-58 (2014-04-28 15:20), 0.9-59 (2014-08-06 15:44), 0.9-61 (2014-12-17 14:56), 0.9-62 (2015-01-08 12:20), 0.9-69 (2015-09-27 17:15), 0.9-74 (2016-02-25 23:38), 0.9-76 (2016-05-04 09:00), 0.9-77 (2016-05-14 00:01), 0.9-79 (2016-07-18 14:10), 0.9-82 (2017-04-07 13:04), 0.9-87 (2017-07-01 00:15), 0.9-91 (2017-10-27 15:07), 0.9-93 (2017-12-11 13:08), 0.9-96 (2018-05-04 06:14), 0.9-97 (2018-08-22 07:00), 0.9-99 (2018-11-06 13:30), 1.0-2 (2019-05-22 09:20), 1.0-4 (2019-08-23 06:50), 1.0-10 (2019-11-24 23:40), 1.0-11 (2020-01-24 00:00), 1.0-13 (2020-02-27 12:20), 1.0-14 (2020-03-13 08:10), 1.0-15 (2020-06-14 16:30), 2.0.17 (2020-12-04 14:50), 2.0.19 (2021-01-12 10:30), 2.0.26 (2021-06-01 09:40), 2.0.31 (2021-07-19 12:20), 2.0.33 (2021-07-30 07:00), 2.0.35 (2021-09-16 07:30), 2.0.36 (2021-09-26 06:40), 2.0.38 (2021-10-11 09:40), 2.0.39 (2021-11-11 00:00), 2.0.40 (2021-12-16 04:30), 2.0.41 (2022-01-07 13:32), 2.0.43 (2022-02-17 01:20), 2.0.44 (2022-03-22 01:30), 2.0.46 (2022-04-01 01:10), 2.0.48 (2022-05-25 11:10), 2.0.50 (2022-07-01 13:00), 2.0.52 (2022-09-25 17:10), 2.0.53 (2022-10-31 09:10), 2.0.54 (2022-12-13 01:40), 2.0.56 (2023-01-15 11:20), 2.0.57 (2023-02-07 00:12), 2.0.58 (2023-03-08 00:40), 2.0.59 (2023-03-28 09:20), 2.0.60 (2023-04-05 14:13), 2.0.61 (2023-05-18 11:40), 2.0.62 (2023-07-01 09:20), 2.0.63 (2023-08-15 11:20), 2.0.65 (2023-09-28 11:10), 2.0.66 (2023-11-20 09:30), 2.0.67 (2024-01-09 07:10), 2.0.68 (2024-02-18 23:30), 2.0.70 (2024-03-11 16:00), 2.0.73 (2024-04-10 04:40), 2.0.74 (2024-04-27 14:30), 2.0.75 (2024-06-17 10:50), 2.0.76 (2024-09-16 00:20), 2.0.77 (2024-11-19 08:20), 2.0.78 (2024-12-10 05:20), 2.0.80 (2025-01-30 14:20), 2.0.81 (2025-04-10 04:30), 2.0.82 (2025-04-23 16:10), 2.0.83 (2025-05-12 00:40), 2.0.84 (2025-05-26 16:40), 2.0.85 (2025-07-24 07:30), 2.0.86 (2025-08-31 17:50), 2.0.87 (2025-09-29 17:50), 2.0.88 (2025-10-21 07:10), 2.0.89 (2025-12-15 07:50), 2.0.90 (2026-02-11 07:10), 2.0.91 (2026-02-23 10:20), 2.0.92 (2026-04-08 15:40), 2.0.93 (2026-05-18 07:20), 2.0.94 (2026-06-26 07:10), 2.0.95 (2026-07-17 10:40), 2.0.96 (2026-08-03 18:30), 2.0.98 (2026-09-20 04:30)
Other packages that cited epiR R package
View epiR citation profile
Other R packages that epiR depends, imports, suggests or enhances
Complete documentation for epiR
Functions, R codes and Examples using the epiR R package
Some associated functions: epi.2by2 . epi.RtoBUGS . epi.SClip . epi.about . epi.asc . epi.betabuster . epi.blcm.paras . epi.bohning . epi.ccc . epi.conf . epi.convgrid . epi.cp . epi.cpresids . epi.descriptives . epi.dgamma . epi.directadj . epi.dms . epi.dsl . epi.edr . epi.empbayes . epi.epidural . epi.herdtest . epi.incin . epi.indirectadj . epi.insthaz . epi.interaction . epi.iv . epi.kappa . epi.ltd . epi.mh . epi.nomogram . epi.occc . epi.offset . epi.pooled . epi.popsize . epi.prcc . epi.prev . epi.psi . epi.realrisk . epi.smd . epi.smr . epi.sscc . epi.ssclus1estb . epi.ssclus1estc . epi.ssclus2estb . epi.ssclus2estc . epi.sscohortc . epi.sscohortt . epi.sscompb . epi.sscompc . epi.sscomps . epi.ssdetect . epi.ssdxsesp . epi.ssdxtest . epi.ssequb . epi.ssequc . epi.ssninfb . epi.ssninfc . epi.sssimpleestb . epi.sssimpleestc . epi.ssstrataestb . epi.ssstrataestc . epi.sssupb . epi.sssupc . epi.ssxsectn . epi.tests . rsu.adjrisk . rsu.dxtest . rsu.epinf . rsu.pfree.equ . rsu.pfree.rs . rsu.pstar . rsu.sep.cens . rsu.sep . rsu.sep.pass . rsu.sep.rb . rsu.sep.rb1rf . rsu.sep.rb2rf . rsu.sep.rb2st . rsu.sep.rbvarse . rsu.sep.rs . rsu.sep.rs2st . rsu.sep.rsfreecalc . rsu.sep.rsmult . rsu.sep.rspool . rsu.sep.rsvarse . rsu.spp.rs . rsu.sspfree.rs . rsu.sssep.rb2st1rf . rsu.sssep.rb2st2rf . rsu.sssep.rbmrg . rsu.sssep.rbsrg . rsu.sssep.rs . rsu.sssep.rs2st . rsu.sssep.rsfreecalc . rsu.sssep.rspool . 
Some associated R codes: epi.2by2.R . epi.RtoBUGS.R . epi.about.R . epi.asc.R . epi.betabuster.R . epi.bohning.R . epi.ccc.R . epi.conf.R . epi.convgrid.R . epi.cp.R . epi.cpresids.R . epi.descriptives.R . epi.dgamma.R . epi.directadj.R . epi.dms.R . epi.dsl.R . epi.edr.R . epi.empbayes.R . epi.herdtest.R . epi.indirectadj.R . epi.insthaz.R . epi.interaction.R . epi.iv.R . epi.kappa.R . epi.ltd.R . epi.mh.R . epi.nomogram.R . epi.occc.R . epi.offset.R . epi.pooled.R . epi.popsize.R . epi.prcc.R . epi.prev.R . epi.smd.R . epi.smr.R . epi.sscc.R . epi.ssclus1estb.R . epi.ssclus1estc.R . epi.ssclus2estb.R . epi.ssclus2estc.R . epi.sscohortc.R . epi.sscohortt.R . epi.sscompb.R . epi.sscompc.R . epi.sscomps.R . epi.ssdetect.R . epi.ssdxsesp.R . epi.ssdxtest.R . epi.ssequb.R . epi.ssequc.R . epi.ssninfb.R . epi.ssninfc.R . epi.sssimpleestb.R . epi.sssimpleestc.R . epi.ssstrataestb.R . epi.ssstrataestc.R . epi.sssupb.R . epi.sssupc.R . epi.ssxsectn.R . epi.tests.R . globals.R . rsu.adjrisk.R . rsu.dxtest.R . rsu.epinf.R . rsu.pfree.equ.R . rsu.pfree.rs.R . rsu.pstar.R . rsu.sep.R . rsu.sep.cens.R . rsu.sep.pass.R . rsu.sep.rb.R . rsu.sep.rb1rf.R . rsu.sep.rb2rf.R . rsu.sep.rs.R . rsu.sep.rs2st.R . rsu.sep.rsfreecalc.R . rsu.sep.rsmult.R . rsu.sep.rspool.R . rsu.sep.rsvarse.R . rsu.spp.rs.R . rsu.sspfree.rs.R . rsu.sssep.rb2st1rf.R . rsu.sssep.rb2st2rf.R . rsu.sssep.rbmrg.R . rsu.sssep.rbsrg.R . rsu.sssep.rs.R . rsu.sssep.rs2st.R . rsu.sssep.rsfreecalc.R . rsu.sssep.rspool.R . zARscore.R . zARwald.R . zMHRD.GR.R . zMHRD.Sato.R . zMHRD.Sato0.R . zORcfield.R . zORml.R . zORscore.R . zORwald.R . zRRscore.R . zRRtaylor.R . zRRwald.R . zagresti.R . zclopperpearson.R . zdisc.prior.R . zexact.R . zfleiss.R . zget.cp.R . zincrate.R . zincrisk.R . zjeffreys.R . zlimit.R . zn.binom.R . zn.hypergeo.R . zrsu.rspfree.1.R . zsep.binom.R . zsep.binom.imperfect.R . zsep.hypergeo.R . zsep.pfree.R . zsph.binom.R . zwilson.R . zz2stat.R . zzz.R .  Full epiR package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA