![[R logo]](../../../doc/html/logo.jpg){kind=logo}
![[Up]](../../../doc/html/left.jpg){kind=small}
![[Top]](../../../doc/html/up.jpg){kind=small}
| 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.cluster1size | Sample size under under one-stage cluster sampling |
| epi.cluster2size | Sample size under under two-stage cluster sampling |
| epi.clustersize | Sample size for cluster-sample surveys |
| 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.detectsize | Sample size to detect disease |
| 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 |
| epi.epidural | Rates of use of epidural anaesthesia in trials of caregiver support |
| epi.equivb | Estimate the sample size for a parallel equivalence trial, binary outcomes |
| epi.equivc | Estimate the sample size for a parallel equivalence trial, continuous outcomes |
| epi.herdtest | Estimate herd test characteristics |
| epi.incin | Laryngeal and lung cancer cases in Lancashire 1974 - 1983 |
| epi.indirectadj | Indirectly adjusted incidence risk estimates |
| epi.insthaz | Instantaneous hazard computed on the basis of a Kaplan-Meier survival function |
| epi.interaction | Relative excess risk due to interaction in a case-control study |
| epi.iv | Fixed-effect 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.noninfb | Estimate the sample size for a parallel non-inferiority trial, binary outcomes |
| epi.noninfc | Estimate the sample size for a parallel equivalence trial, continuous outcomes |
| 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.simplesize | Sample size under simple random sampling |
| epi.smd | Fixed-effect meta-analysis of continuous outcomes using the standardised mean difference method |
| epi.stratasize | Sample size under under stratified random sampling |
| epi.studysize | Estimate the sample size to compare means, proportions, and survival |
| 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 |