Title: Process and Analyse Data from m-Path Sense
Description: Overcomes one of the major challenges in mobile (passive) sensing, namely
being able to pre-process the raw data that comes from a mobile sensing app,
specifically "m-Path Sense" <https://m-path.io>. The main task of 'mpathsenser' is
therefore to read "m-Path Sense" JSON files into a database and provide several
convenience functions to aid in data processing.
Imports: DBI, dbplyr, dplyr, furrr, future, jsonlite, lubridate,
magrittr, purrr, rjson, RSQLite, stats, tibble, tidyr
Suggests: curl, dbx, ggplot2, httr, lme4, lmerTest, progressr, rlang,
rvest, sodium, testthat (>= 3.0.0), vroom
Author: Koen Niemeijer [aut, cre] (<https://orcid.org/0000-0002-0816-534X>)

magrittr, purrr, rjson, rlang, RSQLite, stats, tibble, tidyr
Suggests: curl, dbx, ggplot2, httr, knitr, lifecycle, lme4, lmerTest,
progressr, rmarkdown, rvest, sodium, testthat (>= 3.0.0), vroom
Author: Koen Niemeijer [aut, cre] (<https://orcid.org/0000-0002-0816-534X>),

Imports: DBI, dbplyr, dplyr, furrr, jsonlite, lifecycle, lubridate,
magrittr, purrr, rlang, RSQLite, stats, tibble, tidyr
Suggests: cli, curl, ggplot2, httr, knitr, lintr, lme4, lmerTest,

Title: Multinomial Probit Bayesian Additive Regression Trees
Authors@R: person("Bereket", "Kindo", email = "bpkindo@gmail.com", role = c("aut", "cre"))
Description: Fits Multinomial Probit Bayesian Additive Regression Trees.
Depends: R (>= 3.2.2), mlbench, bayesm, cvTools, mlogit

Title: MPC - Multiple Precision Complex Library
http://mpfr.org/), GMP (GNU Multiple Precision library,
http://gmplib.org/), and MPC (Multiple Precision Complex
Description: The package aims at providing S3 classes and methods for
arbitrary precision arithmetic on complex numbers providing
correct roudning.  It interfaces to the LGPL'ed MPC (Multiple
Precision Complex), MPFR (Multiple Precision Floating-Point
Reliable), and GMP (GNU Multiple Precision) Libraries.

Title: Mean-Parametrized Conway-Maxwell Poisson (COM-Poisson)
Authors@R: c(person("Thomas", "Fung", role = c("aut", "cre"),
person("Justin", "Wishart", role = "aut",
Description: A collection of functions for estimation, testing and diagnostic checking for the mean-parametrized Conway-Maxwell Poisson (COM-Poisson) regression model of Huang (2017) <doi:10.1177/1471082X17697749>.
Packaged: 2019-02-24 09:35:41 UTC; thomasfung