Author: Harish S. Bhat, R. W. M. A. Madushani, Shagun Rawat
Maintainer: Harish S. Bhat <hbhat@ucmerced.edu>
Description: Implementation of density tracking by quadrature (DTQ) algorithms for stochastic differential equations (SDEs).  DTQ algorithms numerically compute the density function of the solution of an SDE with user-specified drift and diffusion functions.  The calculation does not require generation of sample paths, but instead proceeds in a deterministic fashion by repeatedly applying quadrature to the Chapman-Kolmogorov equation associated with a discrete-time approximation of the SDE.  The DTQ algorithm is provably convergent.  For several practical problems of interest, we have found the DTQ algorithm to be fast, accurate, and easy to use.
Suggests: ggplot2 (>= 2.1), scales (>= 0.4.0)

Description: Functions for connecting to and interfacing with an 'Arduino' or similar device. Functionality includes uploading of sketches, setting and reading digital and analog pins, and rudimentary servo control. This project is not affiliated with the 'Arduino' company, <https://www.arduino.cc/>.

c(person(given = "Flavio", family = "Leccese", email = "flavioleccese92@gmail.com", role = c("aut", "cre")))
Description: Easily interact with the 'Arduino Iot Cloud API' <https://www.arduino.cc/reference/en/iot/api/>, managing devices, things, properties and data.
Imports: httr, jsonlite, tibble, cli, purrr, methods

Title: Redundancy Control in Pathways databases
Maintainer: Juan C. Vivar <jvivar@nccu.edu>
Description: Pathways in a database could have many redundancies among
them. This package allows the user to set a maximum value for

them. This package allows the user to set maximum and minimum
values for the proportion of these redundancies.

Description: The aim of this package is to manipulate relational data models in R.
It provides functions to create, modify and export data models in json format.
It also allows importing models created with 'MySQL Workbench' (<https://www.mysql.com/products/workbench/>).
These functions are accessible through a graphical user interface made with 'shiny'.
Constraints such as types, keys, uniqueness and mandatory fields are automatically checked and corrected when editing a model.
Finally, real data can be confronted to a model to check their compatibility.
Depends: R (>= 3.5), dplyr, magrittr, visNetwork
Imports: readr, shiny, shinyjs, jsonlite, DT, colourpicker, rintrojs,
markdown, rstudioapi, crayon, igraph, utils, graphics, stats