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| 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.bohning | Bohning's test for overdispersion of Poisson data |
| epi.ccc | Concordance correlation coefficient |
| epi.conf | Confidence intervals for means, proportions, incidence, and standardised mortality ratios |
| epi.convgrid | Convert British National Grid georeferences to easting and northing coordinates |
| 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 and Laird method |
| epi.edr | Estimated dissemination ratio |
| epi.empbayes | Empirical Bayes estimates of observed event counts |
| epi.epidural | Rates of use of epidural anaesthesia in trials of caregiver support |
| epi.herdtest | Estimate the characteristics of diagnostic tests applied at the herd (group) level |
| epi.incin | Laryngeal and lung cancer cases in Lancashire 1974 - 1983 |
| epi.indirectadj | Indirectly adjusted incidence risk estimates |
| epi.insthaz | Instantaneous hazard estimates 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 variance method |
| 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-Haenszel method |
| epi.nomogram | Post-test probability of disease given sensitivity and specificity of a test |
| 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 |
| epi.prcc | Partial rank correlation coefficients |
| epi.prev | Estimate true prevalence |
| epi.RtoBUGS | R to WinBUGS data conversion |
| epi.SClip | Lip cancer in Scotland 1975 - 1980 |
| epi.smd | Fixed-effects meta-analysis of continuous outcomes using the standardised mean difference method |
| epi.sscc | Sample size, power or minimum detectable odds ratio for an unmatched or matched case-control study |
| epi.ssclus1estb | Sample size to estimate a binary outcome using one-stage cluster sampling |
| epi.ssclus1estc | Sample size to estimate a continuous outcome using one-stage cluster sampling |
| epi.ssclus2estb | Number of clusters to be sampled to estimate a binary outcome using two-stage cluster sampling |
| epi.ssclus2estc | Number of clusters to be sampled to estimate a continuous outcome using two-stage cluster sampling |
| epi.sscohortc | Sample size, power or minimum detectable incidence risk ratio for a cohort study using individual count data |
| epi.sscohortt | Sample size, power or minimum detectable incidence rate ratio for a cohort study using person or animal time data |
| epi.sscompb | Sample size, power and minimum detectable risk ratio when comparing binary outcomes |
| epi.sscompc | Sample size, power and minimum detectable difference when comparing continuous outcomes |
| epi.sscomps | Sample size, power and minimum detectable hazard when comparing time to event |
| epi.ssdetect | Sample size to detect an event |
| epi.ssequb | Sample size for a parallel equivalence trial, binary outcome |
| epi.ssequc | Sample size for a parallel equivalence trial, continuous outcome |
| 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 sampling |
| epi.ssstrataestb | Sample size to estimate a binary outcome using stratified random sampling |
| epi.ssstrataestc | Sample size to estimate a continuous outcome using a stratified random sampling design |
| 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 for a cross-sectional study |
| epi.tests | Sensitivity, specificity and predictive value of a diagnostic test |
| print.epi.2by2 | Summary measures for count data presented in a 2 by 2 table |
| print.epi.occc | Overall concordance correlation coefficient (OCCC) |
| print.epi.tests | Sensitivity, specificity and predictive value of a diagnostic test |
| summary.epi.2by2 | Summary measures for count data presented in a 2 by 2 table |
| summary.epi.occc | Overall concordance correlation coefficient (OCCC) |
| summary.epi.tests | Sensitivity, specificity and predictive value of a diagnostic test |