epiR2.0.76 package

Tools for the Analysis of Epidemiological Data

epi.2by2

Summary measures for count data presented in a 2 by 2 table

epi.about

The library epiR: summary information

epi.asc

Write matrix to an ASCII raster file

epi.betabuster

An R version of Wes Johnson and Chun-Lung Su's Betabuster

epi.blcm.paras

Number of parameters to be inferred and number of informative priors r...

epi.bohning

Bohning's test for overdispersion of Poisson data

epi.ccc

Concordance correlation coefficient

epi.conf

Confidence intervals for means, proportions, incidence, and standardis...

epi.convgrid

Convert British National Grid georeferences to easting and northing co...

epi.cp

Extract unique covariate patterns from a data set

epi.cpresids

Covariate pattern residuals from a logistic regression model

epi.descriptives

Descriptive statistics

epi.dgamma

Estimate the precision of a [structured] heterogeneity term

epi.directadj

Directly adjusted incidence rate estimates

epi.dms

Decimal degrees and degrees, minutes and seconds conversion

epi.dsl

Mixed-effects meta-analysis of binary outcomes using the DerSimonian a...

epi.edr

Estimated dissemination ratio

epi.empbayes

Empirical Bayes estimates of observed event counts

epi.herdtest

Estimate the characteristics of diagnostic tests applied at the herd (...

epi.indirectadj

Indirectly adjusted incidence risk estimates

epi.insthaz

Event instantaneous hazard based on Kaplan-Meier survival estimates

epi.interaction

Relative excess risk due to interaction in a case-control study

epi.iv

Fixed-effects meta-analysis of binary outcomes using the inverse varia...

epi.kappa

Kappa statistic

epi.ltd

Lactation to date and standard lactation milk yields

epi.mh

Fixed-effects meta-analysis of binary outcomes using the Mantel-Haensz...

epi.nomogram

Post-test probability of disease given sensitivity and specificity of ...

epi.occc

Overall concordance correlation coefficient (OCCC)

epi.offset

Create offset vector

epi.pooled

Estimate herd test characteristics when pooled sampling is used

epi.popsize

Estimate population size on the basis of capture-recapture sampling

epi.prcc

Partial rank correlation coefficients

epi.prev

Estimate true prevalence and the expected number of false positives

epi.psi

Proportional similarity index

epi.realrisk

An R version of the Winton Centre's RealRisk calculator

epi.RtoBUGS

R to WinBUGS data conversion

epi.smd

Fixed-effects meta-analysis of continuous outcomes using the standardi...

epi.smr

Confidence intervals and tests of significance of the standardised mor...

epi.sscc

Sample size, power or minimum detectable odds ratio for an unmatched o...

epi.ssclus1estb

Sample size to estimate a binary outcome using one-stage cluster sampl...

epi.ssclus1estc

Sample size to estimate a continuous outcome using one-stage cluster s...

epi.ssclus2estb

Number of clusters to be sampled to estimate a binary outcome using tw...

epi.ssclus2estc

Number of clusters to be sampled to estimate a continuous outcome usin...

epi.sscohortc

Sample size, power or minimum detectable incidence risk ratio for a co...

epi.sscohortt

Sample size, power or minimum detectable incidence rate ratio for a co...

epi.sscompb

Sample size and power when comparing binary outcomes

epi.sscompc

Sample size and power when comparing continuous outcomes

epi.sscomps

Sample size and power when comparing time to event

epi.ssdetect

Sample size to detect an event

epi.ssdxsesp

Sample size to estimate the sensitivity or specificity of a diagnostic...

epi.ssdxtest

Sample size to validate a diagnostic test in the absence of a gold sta...

epi.ssequb

Sample size for a parallel equivalence or equality trial, binary outco...

epi.ssequc

Sample size for a parallel equivalence or equality trial, continuous o...

epi.ssninfb

Sample size for a non-inferiority trial, binary outcome

epi.ssninfc

Sample size for a non-inferiority trial, continuous outcome

epi.sssimpleestb

Sample size to estimate a binary outcome using simple random sampling

epi.sssimpleestc

Sample size to estimate a continuous outcome using simple random sampl...

epi.ssstrataestb

Sample size to estimate a binary outcome using stratified random sampl...

epi.ssstrataestc

Sample size to estimate a continuous outcome using a stratified random...

epi.sssupb

Sample size for a parallel superiority trial, binary outcome

epi.sssupc

Sample size for a parallel superiority trial, continuous outcome

epi.ssxsectn

Sample size, power or minimum detectable prevalence ratio or odds rati...

epi.tests

Sensitivity, specificity and predictive value of a diagnostic test

rsu.adjrisk

Adjusted risk values

rsu.dxtest

Sensitivity and specificity of diagnostic tests interpreted in series ...

rsu.epinf

Effective probability of disease

rsu.pfree.equ

Equilibrium probability of disease freedom assuming representative or ...

rsu.pfree.rs

Calculate the probability of freedom for given population sensitivity ...

rsu.pstar

Design prevalence back calculation

rsu.sep.cens

Surveillance system sensitivity assuming data from a population census

rsu.sep.pass

Surveillance system sensitivity assuming passive surveillance and repr...

rsu.sep.rb

Surveillance system sensitivity assuming risk-based sampling and varyi...

rsu.sep.rb1rf

Surveillance system sensitivity assuming risk-based sampling on one ri...

rsu.sep.rb2rf

Surveillance system sensitivity assuming risk-based sampling on two ri...

rsu.sep.rb2st

Surveillance system sensitivity assuming risk based, two-stage samplin...

rsu.sep.rbvarse

Surveillance system sensitivity assuming risk based sampling and varyi...

rsu.sep

Probability that the prevalence of disease in a population is less tha...

rsu.sep.rs

Surveillance system sensitivity assuming representative sampling

rsu.sep.rs2st

Surveillance system sensitivity assuming representative two-stage samp...

rsu.sep.rsfreecalc

Surveillance system sensitivity for detection of disease assuming repr...

rsu.sep.rsmult

Surveillance system sensitivity by combining multiple surveillance com...

rsu.sep.rspool

Surveillance system sensitivity assuming representative sampling, impe...

rsu.sep.rsvarse

Surveillance system sensitivity assuming representative sampling and v...

rsu.spp.rs

Surveillance system specificity assuming representative sampling

rsu.sspfree.rs

Sample size to achieve a desired probability of disease freedom assumi...

rsu.sssep.rb2st1rf

Sample size to achieve a desired surveillance system sensitivity assum...

rsu.sssep.rb2st2rf

Sample size to achieve a desired surveillance system sensitivity assum...

rsu.sssep.rbmrg

Sample size to achieve a desired surveillance system sensitivity assum...

rsu.sssep.rbsrg

Sample size to achieve a desired surveillance system sensitivity assum...

rsu.sssep.rs

Sample size to achieve a desired surveillance system sensitivity assum...

rsu.sssep.rs2st

Sample size to achieve a desired surveillance system sensitivity assum...

rsu.sssep.rsfreecalc

Sample size to achieve a desired surveillance system sensitivity to de...

rsu.sssep.rspool

Sample size to achieve a desired surveillance system sensitivity using...

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.

  • Maintainer: Mark Stevenson
  • License: GPL (>= 2)
  • Last published: 2024-09-15