accessing state, regional and national influenza statistics as well as
Mortality Surveillance Data. The Flash interface makes it difficult and
time-consuming to select and retrieve influenza data. This package
provides functions to access the data provided by the portal's underlying API.
Imports: httr (>= 0.3.0), xml2, dplyr, utils, purrr, readr, jsonlite,

Title: Retrieve 'U.S'. Flu Season Data from the 'CDC' 'FluView' Portal
person("Bob", "Rudis", email = "bob@rud.is", role = c("aut", "cre"),
person("Craig", "McGowan", email = "mcgowan.cj@gmail.com", role = "ctb",
Description: The 'U.S.' Centers for Disease Control ('CDC') maintains a portal
Mortality Surveillance Data. The web interface makes it difficult and
time-consuming to select and retrieve influenza data. Tools are provided
to access the data provided by the portal's underlying 'API'.
Imports: httr, tools, dplyr, jsonlite, stats, utils, sf, xml2, purrr,

Title: Retrieve Flu Season Data from the United States Centers for
Disease Control and Prevention ('CDC') 'FluView' Portal
person("JJ", "Chen", email = "jiajia.chern@gmail.com", role = "ctb",
person("Sebastian", "Meyer", email = "seb.meyer@fau.de", role = "ctb",
person("James", "Turtle", email = "jturtle@predsci.com", role = "ctb",
Description: The 'U.S.' Centers for Disease Control and Prevention (CDC) maintain
mortality surveillance data. The web interface makes it difficult and
Author: Bob Rudis [aut, cre] (<https://orcid.org/0000-0001-5670-2640>),

Imports: httr, tools, dplyr, jsonlite, tibble, stats, utils, sf, xml2,
purrr, readr, MMWRweek, units (>= 0.4-6)

Imports: httr, progress, tools, dplyr, jsonlite, tibble, stats, utils,
sf, xml2, purrr, readr, MMWRweek, units (>= 0.4-6)

person("Andrew", "Bates", role = "ctb"),

Title: Conditional Distance Correlation and Its Related Feature
Author: Canhong Wen, Wenliang Pan, Mian Huang, and Xueqin Wang
Description: Gives conditional distance correlation and performs the conditional distance correlation sure independence screening procedure for ultrahigh dimensional data. The conditional distance correlation is a novel conditional dependence measurement of two random variables given a third variable. The conditional distance correlation sure independence screening is used for screening variables in ultrahigh dimensional setting.
Collate: 'cdcov.R' 'cdcor.R' 'cdcor.ada.R' 'bw.R' 'cdcsis.R'