Description: Package to query the Twitter Academic Research Product Track,
Imports: dplyr (>= 1.0.0), httr, jsonlite, magrittr, lubridate,
usethis, tibble, tidyr, tidyselect, purrr, rlang
Suggests: knitr, rmarkdown, devtools, testthat (>= 3.0.0), httptest,
Justin Chun-ting Ho [aut] (<https://orcid.org/0000-0002-7884-1059>),

usethis, tibble, tidyr, tidyselect, purrr, rlang, utils

Description: Processes accelerometer data, generates summaries and plots data.
Imports: zoo, PhysicalActivity, mhsmm, timeDate

Title: A Package to Processes Accelerometer Data
Description: Processes accelerometer data from uni-axial and tri-axial devices and generates data summaries. Also includes functions to plot and simulate accelerometer data.
Depends: R (>= 2.10), zoo, PhysicalActivity, mhsmm, timeDate

Depends: R (>= 2.10), zoo, mhsmm, PhysicalActivity

Title: Functions for Processing and Analyzing Accelerometer Data
Description: Processes accelerometer data from uni-axial and tri-axial devices, and generates data summaries. Also includes functions to plot, analyze, and simulate accelerometer data.
Depends: R (>= 2.10), zoo, mhsmm, PhysicalActivity, nleqslv, plyr,

Description: Processes accelerometer data from uni-axial and tri-axial devices,
and generates data summaries. Also includes functions to plot, analyze, and
Imports: zoo, PhysicalActivity, nleqslv, plyr, methods, DBI, RSQLite,
circlize, ggplot2, R.utils, iterators, Rcpp

person("Gudmundur", "Einarsson", , "gumeo140688@gmail.com", role = c("aut", "cre", "trl")),
person("Line", "Clemmensen", , "lkhc@dtu.dk", role = c("aut","ths")),
person("Brendan", "Ames", , "bpames@ua.edu", role = c("aut")),
person("Summer", "Atkins", , "sratkins@crimson.ua.edu", role = c("aut"))
Title: Accelerated Sparse Discriminant Analysis
Description: Implementation of sparse linear discriminant analysis, which is a supervised
classification method for multiple classes. Various novel optimization approaches to
this problem are implemented including alternating direction method of multipliers (ADMM),
proximal gradient (PG) and accelerated proximal gradient (APG) (See Atkins et al. <arXiv:1705.07194>).
Functions for performing cross validation are also supplied along with basic prediction
Sparse zero variance discriminant analysis (SZVD) is also included in the package
(See Ames and Hong, <arXiv:1401.5492>). See the github wiki for a more extended description.
Author: Gudmundur Einarsson [aut, cre, trl],