Packaged: 2021-08-17 20:52:24 UTC; scottericr
Author: Eric R. Scott [aut, cre] (<https://orcid.org/0000-0002-7430-7879>)

Packaged: 2022-05-13 15:01:14 UTC; scottericr

Title: Quantify Disease Transmission Within and Between Population
person("Lerato E", "Magosi", email = "lmagosi@hsph.harvard.edu",
person("Marc", "Lipsitch", email = "mlipsitc@hsph.harvard.edu",
person("Lerato E", "Magosi", email = "magosil86@gmail.com",
Description: A simple tool to quantify the amount of transmission
of an infectious disease of interest occurring within and between
population groups. 'bumblebee' uses counts of observed directed
transmission pairs, identified phylogenetically from deep-sequence data or
from epidemiological contacts, to quantify transmission flows within and
between population groups accounting for sampling heterogeneity. Population
groups might include: geographical areas (e.g. communities, regions),
demographic groups (e.g. age, gender) or arms of a randomized clinical
trial. See the 'bumblebee' website for statistical theory, documentation
Suggests: covr (>= 3.5.1), knitr (>= 1.30), markdown (>= 1.1), testthat
Author: Lerato E Magosi [aut] (<https://orcid.org/0000-0002-3388-9892>),
Maintainer: Lerato E Magosi <magosil86@gmail.com>

Authors@R: person("Panos", "Mavrokonstantis", email = "mavpanos@gmail.com",
Description: Implementation of the bunching estimator for kinks and notches.
Allows for flexible estimation of counterfactual (e.g. controlling for round number bunching, accounting for other bunching masses within bunching window, fixing bunching point to be minimum, maximum or median value in its bin, etc.).
It produces publication-ready plots in the style followed since Chetty et al. (2011) <DOI:10.1093/qje/qjr013>, with lots of functionality to set plot options.
Packaged: 2019-09-16 16:28:57 UTC; panosmavrokonstantis
Author: Panos Mavrokonstantis [aut, cre]

It produces publication-ready plots in the style followed since Chetty et al. (2011) <doi:10.1093/qje/qjr013>, with lots of functionality to set plot options.