Approximate Path for Penalized Likelihood Estimators
Approximate Path for Penalized Likelihood Estimators for Generalized Linear Models penalized by LASSO or MCP

Approximate Path for Penalized Likelihood Estimators for
Generalized Linear Models penalized by LASSO or MCP

Get Apple Search Ads Data via the 'Windsor.ai' API
Collect  your data on digital marketing campaigns from Apple Search Ads using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.

'Apple App Store' and 'iTunes' Data Extraction
person("Ashley", "Baldry", email = "arbaldry91@gmail.com", role = c("aut", "cre"))
Using 'Apple App Store' <https://www.apple.com/app-store/> web scraping and 'iTunes' API
<https://affiliate.itunes.apple.com/resources/documentation/itunes-store-web-service-search-api/>
to extract content information, app ratings and reviews.
httr, jsonlite, rvest, glue, xml2, lubridate

Using 'Apple App Store' <https://www.apple.com/app-store/> web scraping and 'iTunes' API
<https://performance-partners.apple.com/resources/documentation/itunes-store-web-service-search-api.html>
to extract content information, app ratings and reviews.

A Compilation of Applicability Domain Methods
c(
person(given = "Marly", family = "Gotti", email = "marlygotti@gmail.com", role = c("aut", "cre")),
person(given = "Max", family = "Kuhn", email = "max@rstudio.com", role = c("aut")),
person("RStudio", role = "cph"))
A modeling package compiling applicability domain methods in R.
It combines different methods to measure the amount of extrapolation new
samples can have from the training set. See Netzeva et al (2005)
<doi:10.1177/026119290503300209> for an overview of applicability domains.
hardhat (>= 0.1.2), rlang, stats, glue, tibble, proxyC,
Matrix, dplyr, utils, purrr, tidyselect, tidyr
recipes (>= 0.1.7), testthat (>= 2.1.0), knitr, rmarkdown,
covr, AmesHousing, spelling, xml2, modeldata
Marly Gotti [aut, cre],
Max Kuhn [aut],
RStudio [cph]

c(
person("Marly", "Gotti", , "marlygotti@gmail.com", role = c("aut", "cre")),
person("Max", "Kuhn", , "max@rstudio.com", role = "aut"),
person("RStudio", role = "cph")
)
A modeling package compiling applicability domain methods in
R. It combines different methods to measure the amount of
extrapolation new samples can have from the training set. See Gadaleta et
al (2016)  <doi:10.4018/IJQSPR.2016010102> for an overview of
applicability domains.
dplyr, glue, hardhat (>= 0.1.2), Matrix, proxyC, purrr, rlang,
stats, tibble, tidyr, tidyselect, utils
covr, isotree, knitr, modeldata, recipes (>= 0.1.7),
rmarkdown, spelling, testthat (>= 3.0.0), xml2