Feature Extraction for Discretely-Sampled Functional Data
Discretely-sampled function is first smoothed.  Features
of the smoothed function are then extracted.  Some of the key
features include mean value, first and second derivatives,
critical points (i.e. local maxima and minima), curvature of
cunction at critical points, wiggliness of the function, noise
in data, and outliers in data.
Ravi Varadhan, Johns Hopkins University, and MKG Subramaniam,
AT&T Reserach Labs.

Interact with the 'Python' Module 'Featuretools'
person("Magnus", "Furugård", email = "magnus.furugard@gmail.com", role = c("aut", "cre"))
A 'reticulate'-based interface to the 'Python' module 'Featuretools'.
The package grants functionality to interact with 'Pythons' 'Featuretools' module, which allows
for automated feature engineering on any data frame. Valid features and new data sets can, after
feature synthesis, easily be extracted.
reticulate, caret, dplyr, purrr, stringr, tibble, magrittr,
cli, testthat

reticulate, caret, dplyr, purrr, stringr, tibble, magrittr,
cli, testthat, rstudioapi

Some Helper Functions that Help Create Features from Data
person("Chhavi", "Choudhury", email = "chhavi.choudhury@gmail.com", role = c("aut", "cre"))
A collection of functions that would help one to build features based on external data. Very useful for Data Scientists in data to day work. Many functions create features using parallel computation. Since the nitty gritty of parallel computation is hidden under the hood, the user need not worry about creating clusters and shutting them down.

Free Brazilian Repository for Open Soil Data
c(
person("Alessandro", "Samuel-Rosa", role = c("aut", "cre"), email = "alessandrosamuelrosa@gmail.com",
comment = c(ORCID = "0000-0003-0877-1320")),
person("Universidade Federal de Santa Maria", role = "fnd", email = "ppgcs@ufsm.br"))
Making the access to the Free Brazilian Repository for Open Soil Data <http://www.ufsm.br/febr/> as easy
as possible.
cellranger, dplyr, glue, googlesheets, knitr, pedometrics,
readr, sp, stringr, xlsx
bookdown, DT, lattice, latticeExtra, magrittr, pander, rgdal
Alessandro Samuel-Rosa [aut, cre]
(<https://orcid.org/0000-0003-0877-1320>),
Universidade Federal de Santa Maria [fnd]