parasiteR: A Theorical-Practical Approach to Parasitological Data Analysis
Standardizes and streamlines the processing of parasitological data by integrating descriptive analyses of parasite count distributions, automated calculation of parasitological indices and their dispersion measures, and intuitive visualizations for representing these metrics (Bush et al. 1997 <doi:10.2307/3284227>, Reiczigel et al. 2019 <doi:10.1016/j.pt.2019.01.003>).
| Version: |
1.0 |
| Depends: |
R (≥ 3.5) |
| Imports: |
rlang, ggplot2, magrittr, dplyr, tidyr, stats, BlakerCI, boot, readr |
| Published: |
2026-05-13 |
| DOI: |
10.32614/CRAN.package.parasiteR |
| Author: |
Exequiel Oscar Furlan
 [aut],
Juan Manuel Cabrera
[aut, cre,
cph],
Elisa Helman
[aut] |
| Maintainer: |
Juan Manuel Cabrera <juan.cabrera at uner.edu.ar> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
parasiteR results |
Documentation:
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