Text Analysis Through the 'Receptiviti' API
c(
person("Receptiviti Inc.", role = c("fnd", "cph")),
person("Kent", "English", role = "cre", email = "kenglish@receptiviti.com"),
person("Micah", "Iserman", role = c("aut", "ctr"))
)
Send text to the <https://www.receptiviti.com> API to be scored
by all available frameworks.
curl, jsonlite, digest, arrow, dplyr, future.apply, progressr
Receptiviti Inc. [fnd, cph],
Kent English [cre],
Micah Iserman [aut, ctr]

testthat (>= 3.0.0), knitr, rmarkdown, future

3D Reconstruction of Archaeological Excavations
A toolset for 3D reconstruction and analysis of excavations. It provides methods to reconstruct natural and artificial surfaces based on field measurements. This allows to spatially contextualize documented subunits and features. Intended to be part of a 3D visualization workflow.
dplyr (>= 0.4.1), plyr, magrittr (>= 1.5), reshape2 (>=
1.4.1), Rcpp, devtools
testthat, knitr, rmarkdown, roxygen2, plotly

c(
person("Clemens", "Schmid", email = "clemens@nevrome.de", role = c("cre", "cph", "aut")),
person("Benjamin", "Serbe", email = "b.serbe@web.de", role = c("aut"))
)
Clemens Schmid [cre, cph, aut],
Benjamin Serbe [aut]

The 'Echo nest' <http://the.echonest.com> is the industry's leading
music intelligence company, providing developer with deepest understanding of
music content and music fans. This package can be used to access artist's data
including songs, blogs, news, reviews etc. Song's data including audio summary,
style, danceability, tempo etc can also be accessed.

Preprocessing Tools to Create Design Matrices
c(
person("Max", "Kuhn", , "max@rstudio.com", c("aut", "cre")),
person("Hadley", "Wickham", , "hadley@rstudio.com", "aut"),
person("RStudio", role = "cph"))
An extensible framework to create and preprocess
design matrices. Recipes consist of one or more data manipulation
and analysis "steps". Statistical parameters for the steps can
be estimated from an initial data set and then applied to
other data sets. The resulting design matrices can then be used
as inputs into statistical or machine learning models.
tibble, stats, ipred, dimRed (>= 0.1.0), lubridate, timeDate,
ddalpha, purrr, rlang (>= 0.1.1), gower, RcppRoll, tidyselect
(>= 0.1.1), magrittr
testthat, rpart, kernlab, fastICA, RANN, igraph, knitr,
caret, ggplot2, rmarkdown
Max Kuhn [aut, cre],
Hadley Wickham [aut],
RStudio [cph]