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Analysis using Bayesian hierachical model


Detecting Anthelmintic Resistance

Modelling Faecal Egg Counts with Shiny

The goal of the shiny-eggCounts project is to provide an intuitive web interface to analyse faecal egg count data. Therefore we developed a Shiny web application whose functionality depends on the R package eggCounts.

For advanced users, we recommend to use the R environment to access the full functionality of the R pacakge eggCounts. An additional R package eggCountsExtra further extends its functionalities.


Technical questions: Craig Wang

Administrative questions: Reinhard Furrer


To cite `eggCounts` individual efficacy model, zero-inflation models or other models in publications, please use the corresponding items below:

1. Wang, C., Torgerson, P. R., Kaplan, R.M., George, M.M., and Furrer, R. (2018). Modelling anthelmintic resistance by extending eggCounts package to allow individual efficacy, International Journal for Parasitology: Drugs and Drug Resistance, Submitted.

2. Wang, C., Torgerson, P. R., Höglund, J. and Furrer, R. (2017). Zero-inflated hierarchical models for faecal egg counts to assess anthelmintic efficacy. Veterinary Parasitology, 235, 20--28.

3. Torgerson, P. R., Paul, M.. and Furrer, R. (2014). Evaluating faecal egg count reduction using a specifically designed package 'eggCounts' in {R} and a user friendly web interface, Veterinary Parasitology, 44, 299--303.

To cite `eggCounts` package in publications, please use:

Wang, C. and Paul, M. (2018). eggCounts: Hierarchical Modelling of Faecal Egg Counts. R package version 2.0.

Their BibTeX entries are available here .

shiny-eggCounts Team

Team Leader: Prof. Reinhard Furrer

Developer: Roman Flury, Craig Wang

Maintainer: Craig Wang

Scientific Collaborator: Prof. Paul Torgerson


You are using 'eggCounts-2.1' on R version 3.5.0. This website was last updated on 2018-05-07.

This application was developed at the Department of Mathematics in the University of Zurich and was sponsored by the Swiss National Science Foundation grant CR3313-132482.