c(
person("Jonathan M.", "Mang", , "jonathan.mang@uk-erlangen.de", role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-0518-4710")),
person("MIRACUM - Medical Informatics in Research and Care in University Medicine", role = "fnd"),
person("Universitätsklinikum Erlangen, Germany", role = "cph")
)
Small package to clean the R console and the R environment
with the call of just one function.
Jonathan M. Mang [aut, cre] (<https://orcid.org/0000-0003-0518-4710>),
MIRACUM - Medical Informatics in Research and Care in University
Medicine [fnd],
Universitätsklinikum Erlangen, Germany [cph]

person(
given = c("Matthijs", "S."),
family = "Berends",
email = "m.s.berends@umcg.nl",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-7620-1800"))
Data cleaning functions for classes 'logical',
'factor', 'numeric', 'character' and 'Date' to make data
cleaning fast and easy. Relying on very few dependencies, it
provides smart guessing, but with user options to override
anything if needed.
Matthijs S. Berends [aut, cre]
(<https://orcid.org/0000-0001-7620-1800>)

Data cleaning functions for classes 'logical',
'factor', 'numeric', 'character', 'currency' and 'Date' to make
data cleaning fast and easy. Relying on very few dependencies, it
provides smart guessing, but with user options to override
anything if needed.

A wrapper around the new 'cleaner' package, that allows
data cleaning functions for classes 'logical', 'factor', 'numeric',
'character', 'currency' and 'Date' to make data cleaning fast and
easy. Relying on very few dependencies, it provides smart guessing,
but with user options to override anything if needed.

The Critical Care Clinical Data Processing Tools
Sinan Shi, David Perez-Suare, Steve Harris
A toolset to deal with the Critical Care Health Informatics Collaborative
dataset. It is created to address various data reliability and accessibility
problems of electronic healthcare records (EHR). It provides a unique
platform which enables data manipulation, transformation, reduction,
anonymisation, cleaning and validation.
data.table, XML, yaml, Rcpp, methods, knitr, ggplot2, pander,
stats, utils
'RcppExports.R' 'ccRecord.R' 'ccTable.R' 'create2dclean.R'
'data.quality.report.R' 'deltaTime.R' 'filter.categorical.R'
'filter.missingness.R' 'filter.range.R' 'imputation.R'
'pipeline.R' 'reallocateTime.R' 'selectTable.R'
'sql_demographic.R' 'stdid.R' 'summary.R' 'unique.spell.R'
'utilities.R' 'xml2ccdata.R' 'zzz.R'