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 , Reiczigel et al. 2019 ).


Reference manual

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install.packages("parasiteR")

1.1.1 by Juan Manuel Cabrera, 3 months ago


Browse source code at https://github.com/cran/parasiteR


Authors: Exequiel Oscar Furlan [aut] (ORCID: , Juan Manuel Cabrera [aut, cre, cph] (ORCID: , Elisa Helman [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports rlang, ggplot2, magrittr, dplyr, tidyr, stats, BlakerCI, boot, readr, binom, bbmle, readr.1, MASS


See at CRAN