dplyr, purrr, tidyr, ggplot2, ggthemes, stringr, tidyselect,
flextable

Aggregate Numeric and Categorical Variables by an ID
Matthias Bogaert, Michel Ballings, Dirk Van den Poel
Convenience functions for aggregating data frame. Currently mean, sum and variance are supported. There is also support for dummy variables in predictive contexts.

Aggregate Numeric, Date and Categorical Variables by an ID
Convenience functions for aggregating data frame. Currently mean, sum and variance are supported. For Date variables, recency and duration are supported. There is also support for dummy variables in predictive contexts.

Aggregate Numeric, Date and Categorical Variables
stats, utils, methods, data.table, tibble, NCmisc
Convenience functions for aggregating a data frame or data table.
Currently mean, sum and variance are supported. For Date variables, the recency
and duration are supported. There is also support for dummy variables in
predictive contexts. Code has been completely re-written in data.table for computational speed.

Statistical Tools for Measuring Agreement
This package computes several statistics for measuring
agreement, for example, mean square deviation (MSD), total
deviation index (TDI) or concordance correlation coefficient
(CCC). It can be used for both continuous data and categorical
data for multiple raters and multiple readings cases.

agreement: Analyse the agreement between two measurement methods
The agreement is a package to investigate agreement
between two measurement methods using a simulation
approach. This approach is the same as that presented
in literature.

Agreement Interval of Two Measurement Methods
c(
person("Jialin", "Xu", email="jxx120@gmail.com", role=c("aut", "cre")),
person("Jason", "Liao", email="jason_liao@merck.com", role=c("aut"))
)
A tool for calculating agreement interval of two measurement methods (Jason Liao (2015) <DOI:10.1515/ijb-2014-0030>) and present results in plots with discordance rate and/or clinically meaningful limit to quantify agreement quality.