Make Quick Descriptive Tables for Categorical Variables
Quickly make tables of descriptive statistics (i.e., counts,
percentages, confidence intervals) for categorical variables. This
package is designed to work in a Tidyverse pipeline, and consideration
has been given to get results from R to Microsoft Word ® with minimal pain.
person("Brad", "Cannell", email = "brad.cannell@gmail.com",
role = c("aut", "cre"))

Create Frequency Tables with Counts and Rates
c(person("Nathan", "Trenholm", role = c("aut", "cre"),
email = "nathan@DataInsightPartners.com"))
Provides functions to create frequency tables which display both counts
and rates.

Generate 'SPSS'/'SAS' styled frequency tables. Frequency tables are
generated with variable and value label attributes where applicable with optional
html output to quickly examine datasets.
R (>= 3.0), rmarkdown, knitr, DT, ggplot2

Spectral Decomposition of Connectedness Measures
person("Tomas", "Krehlik", email = "tomas.krehlik@gmail.com",   role = c("aut", "cre"))
Accompanies a paper (Barunik, Krehlik (2017) <doi:10.2139/ssrn.2627599>) dedicated to spectral decomposition of connectedness measures and their interpretation. We implement all the developed estimators as well as the historical counterparts. For more information, see the help or GitHub page (<https://github.com/tomaskrehlik/frequencyConnectedness>) for relevant information.
testthat, stringr, mAr, reshape2, ggplot2, parallel, zoo

testthat, stringr, mAr, reshape2, ggplot2, parallel, zoo,
BigVAR

Accompanies a paper (Barunik, Krehlik (2018) <doi:10.1093/jjfinec/nby001>) dedicated to spectral decomposition of connectedness measures and their interpretation. We implement all the developed estimators as well as the historical counterparts. For more information, see the help or GitHub page (<https://github.com/tomaskrehlik/frequencyConnectedness>) for relevant information.

Implementation of Frequent-Directions Algorithm for Efficient
Matrix Sketching
c(
person("Shinichi", "Takayanagi", , "shinichi.takayanagi@gmail.com", role = c("aut", "cre")),
person("Nagi", "Teramo", , "teramonagi@gmail.com", role = c("aut"))
)
Implement frequent-directions algorithm for efficient matrix sketching.
(Edo Liberty (2013) <doi:10.1145/2487575.2487623>).
Shinichi Takayanagi [aut, cre],
Nagi Teramo [aut]