Tools for Clustering and Principal
Component Analysis (With robusts methods, and
parallelized funtions).

Tools for Clustering and Principal
Component Analysis (With robusts methods, and
parallelized functions).

Tools for Clustering and Principal Component Analysis
(With robusts methods, and parallelized functions).

Tools for Clustering and Principal Component Analysis
(With robust methods, and parallelized functions).

An Interface to the 'AutoNavi Maps' API Geocoding Services
c(person(given = "Han",
family = "Chen",
role = c("aut", "cre"),
email = "chenhan28@gmail.com"),
person(given = "Wanyanhan",
family = "Jiang",
role = "ctb",
email = "243016042@qq.com"))
Getting and parsing data of location geocode/reverse-geocode and administrative regions from 'AutoNavi Maps'<https://lbs.amap.com/api/webservice/summary> API.
dplyr, httr, jsonlite, magrittr, sjmisc, stats, stringr,
tibble, xml2, purrr, lifecycle
Han Chen [aut, cre],
Wanyanhan Jiang [ctb]

httr, jsonlite, magrittr, sjmisc, stats, stringr, xml2,
lifecycle, data.table

httr, jsonlite, magrittr, sjmisc, stats, stringr, xml2,
lifecycle, data.table, parallel

httr, jsonlite, magrittr, sjmisc, stats, xml2, data.table,
furrr
stringr, knitr, rmarkdown, testthat, spelling, covr

Thin Wrapper for Mapping Library 'AMap' by 'AutoNavi'
c( person("Larry", "Helgason", email= "larry@helgasoft.com", role= c("aut", "cre", "cph")) )
Build and control interactive 2D and 3D maps with 'R/Shiny'.  Lean set of powerful commands wrapping native calls to 'AMap' <https://lbs.amap.com/api/jsapi-v2/summary/>.
Deliver rich mapping functionality with minimal overhead.
htmlwidgets, shiny (>= 1.7.0), tcltk (>= 4.2.0)

htmlwidgets, shiny (>= 1.7.0), tcltk (>= 4.1.0)

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

Additive Models for Business Applications
Additive models with a strong technical focus on term
objects, model selection (semiparametric), missing explanatory
values and interpretation. These models are restricted to
vaguely-normal responses, plus have very little support for
correlated explanatories and statistical inference. This
package is not complete.