Description: Functions to get and download city bike data from
the website and API service of each city bike service in Norway. These
functions minimize time spent on getting Norwegian city bike data, and
lower barriers to start analyzing the data. The data is retrieved from
Oslo City Bike, Oslo Winter Bike, Bergen City Bike, and Trondheim City
Imports: glue (>= 1.3.0), httr, jsonlite, lubridate, magrittr, tibble
Packaged: 2019-05-16 17:11:20 UTC; Iman Ghayoornia

the website and API service of each city bike service in Norway. The
package aims to reduce time spent on getting Norwegian city bike data,
and lower barriers to start analyzing it. The data is retrieved from
Oslo City Bike, Bergen City Bike, and Trondheim City Bike. The data is
made available under NLOD 2.0 <https://data.norge.no/nlod/en/2.0>.
Imports: glue (>= 1.3.0), httr, jsonlite, lubridate, tibble
Suggests: data.table, testthat (>= 2.1.0)

Title: Statistics About Bytes Contained in a File as a Circle Plot
Authors@R: person("Roberto", "S .Galende", email = "roberto.s.galende@gmail.com", role = c("aut", "cre"))
Description: Shows statistics about bytes contained in a file
as a circle graph of deviations from mean in sigma increments.
The function can be useful for statistically analyze the content of files
in a glimpse: text files are shown as a green centered crown, compressed
and encrypted files should be shown as equally distributed variations with
a very low CV (sigma/mean), and other types of files can be classified between
these two categories depending on their text vs binary content, which can be
useful to quickly determine how information is stored inside them (databases,
Maintainer: Roberto S .Galende <roberto.s.galende@gmail.com>

Authors@R: person("Roberto", "S. Galende", email = "roberto.s.galende@gmail.com", role = c("aut", "cre"))
Maintainer: Roberto S. Galende <roberto.s.galende@gmail.com>

Title: Bivariate Zero-Inflated Negative Binomial Model Estimator
Author: Hunyong Cho, Chuwen Liu, Jinyoung Park, Di Wu
Description: Provides a maximum likelihood estimation of Bivariate Zero-Inflated Negative Binomial (BZINB) model or the nested model parameters. Also estimates the underlying correlation of the a pair of count data. See Cho, H., Preisser, J., Liu, C., and Wu, D. (In preparation) for details.