LambertW (>= 0.6.5), nortest, dplyr, doParallel, foreach,
doRNG, recipes, tibble, methods

Estimate a suite of normalizing transformations, including
a new adaptation of a technique based on ranks which can guarantee
normally distributed transformed data if there are no ties: ordered
quantile normalization (ORQ). ORQ normalization combines a rank-mapping
approach with a shifted logit approximation that allows
the transformation to work on data outside the original domain. It is
also able to handle new data within the original domain via linear
interpolation. The package is built to estimate the best normalizing
transformation for a vector consistently and accurately. It implements
the Box-Cox transformation, the Yeo-Johnson transformation, three types
of Lambert WxF transformations, and the ordered quantile normalization
transformation. It estimates the normalization efficacy of other
commonly used transformations, and it allows users to specify
custom transformations or normalization statistics. Finally, functionality
can be integrated into a machine learning workflow via recipes.
LambertW (>= 0.6.5), nortest, dplyr, doParallel, foreach,
doRNG, recipes, tibble, methods, butcher, purrr
knitr, rmarkdown, MASS, testthat, mgcv, parallel, ggplot2,
scales, rlang

knitr, rmarkdown, MASS, testthat, mgcv, parallel, ggplot2,
scales, rlang, covr

person("Ryan Andrew", "Peterson",
email = "ryan.a.peterson@cuanschutz.edu",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-4650-5798"))
Ryan Andrew Peterson [aut, cre]
(<https://orcid.org/0000-0002-4650-5798>)

Burden Estimate of Common Communicable Diseases in Settlements
of Displaced Populations
person("You", "Li", email = "You.Li2@ed.ac.uk", role = c("aut", "cre"))
Provides a practical tool for estimating the burden of common communicable diseases in settlements of displaced populations. An online version of the tool can be found at <http://who-refugee-bod.ecdf.ed.ac.uk/shiny/app/>. Estimates of burden of disease aim to synthesize data about cause-specific morbidity and mortality through a systematic approach that enables evidence-based decisions and comparisons across settings. The focus of this tool is on four acute communicable diseases and syndromes, including Acute respiratory infections, Acute diarrheal diseases, Acute jaundice syndrome and Acute febrile illnesses.
shiny, shinythemes, shinydashboard, shinyWidgets, shinyBS,
shinyjs, tidyr, dplyr, readxl, ggplot2, rlist, DT, stringr