R: Prevalence and Regression for Pool-Tested (Group-Tested) Data

# Prevalence and Regression for Pool-Tested (Group-Tested) Data

## Documentation for package ‘PoolTestR’ version 0.2.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

ExampleData | A synthetic dataset for pooled testing
getPrevalence | Predicting Prevalence from a Mixed or Fixed Effect Logistic Regression with Presence/Absence Tests on Pooled Samples
getPrevalence.brmsfit | Predicting Prevalence from a Mixed or Fixed Effect Logistic Regression with Presence/Absence Tests on Pooled Samples
getPrevalence.glm | Predicting Prevalence from a Mixed or Fixed Effect Logistic Regression with Presence/Absence Tests on Pooled Samples
getPrevalence.glmerMod | Predicting Prevalence from a Mixed or Fixed Effect Logistic Regression with Presence/Absence Tests on Pooled Samples
HierPoolPrev | Estimation of prevalence based on presence/absence tests on pooled samples in a hierarchical sampling frame. Uses an intercept-only random effects model to model prevalence at population level. See PoolReg and PoolRegBayes for full mixed-effect modelling
PoolLink | Link Function for Logistic Regression with Presence/Absence Tests on Pooled Samples
PoolPrev | Estimation of prevalence based on presence/absence tests on pooled samples
PoolReg | Frequentist Mixed or Fixed Effect Logistic Regression with Presence/Absence Tests on Pooled Samples
PoolRegBayes | Bayesian Mixed or Fixed Effect Logistic Regression with Presence/Absence Tests on Pooled Samples
SimpleExampleData | A synthetic dataset for pooled testing
TruePrev | A synthetic dataset for pooled testing