Imports: ggplot2, jsonlite, anytime, curl
Packaged: 2017-10-19 18:04:30 UTC; pmassicotte

Packaged: 2018-02-26 19:39:21 UTC; pmassicotte

Packaged: 2019-05-02 14:42:58 UTC; pmassicotte

Packaged: 2019-08-29 17:27:54 UTC; pmassicotte

Authors@R: c(person("Philippe", "Massicotte", email =
"pmassicotte@hotmail.com", role = c("aut", "cre")), person("Dirk",
"Eddelbuettel", email = "edd@debian.org", role = "aut"))
Description: An interface for retrieving and displaying the information
returned online by Google Trends is provided. Trends (number of
hits) over the time as well as geographic representation of the

person("Danton", "Noriega-Goodwin", role = c("aut"), email="danton.noriega@gmail.com"),
person("Michael", "Sumner", role = c("aut"))
Description: Get simple features from general transit feed data. For example, make a simple features data frame of the route lines, or route stops, that vehicles traverse as part of their schedule.
Imports: dplyr, sf, rlang, tibble, readr, magrittr, stringr, assertthat

Title: Presentation-Ready Data Summary Tables
presentation-ready tables summarizing data sets, regression models,
and more. The code to create the tables is concise and highly
customizable. Data frames can be summarized with many types
Regression models are summarized including the reference row for
categorical independent variables. Function defaults follow
reporting guidelines outlined in Assel, Sjoberg, et al. (2019)

Title: Presentation-Ready Data Summary and Analytic Result Tables
Description: Creates presentation-ready tables summarizing data
sets, regression models, and more. The code to create the tables is
concise and highly customizable. Data frames can be summarized with
any function, e.g. mean(), median(), even user-written functions.
Regression models are summarized and include the reference rows for
categorical variables. Common regression models, such as logistic
regression and Cox proportional hazards regression, are automatically
identified and the tables are pre-filled with appropriate column
headers. The package is enhanced when the 'gt' package is installed.
Use this code to install: 'remotes::install_github("rstudio/gt")'.
Author: Daniel D. Sjoberg [aut, cre] (<https://orcid.org/0000-0003-0862-2018>),