Description: R interface to the Embedded COnic Solver (ECOS) for convex
problems. Conic and equality constraints can be specified in addition

Description: R interface to the Embedded COnic Solver (ECOS), an efficient
and robust C library for convex problems. Conic and equality
constraints can be specified in addition to integer and
boolean variable constraints for mixed-integer problems. This
R interface is inspired by the python interface and has

Authors@R: c(person("Anqi", "Fu", role = c("aut"),
person("Balasubramanian", "Narasimhan", role = c("aut", "cre"),

person("Florian", "Schwendinger", role = c("ctb"),
Suggests: knitr, rmarkdown, testthat, Matrix, covr, slam

, person("Martin", "Maechler", role = "ctb",

Title: Download and Extract Data from US EPA's ECOTOX Database
Description: The US EPA ECOTOX database is a freely available database
with a treasure of aquatic and terrestrial ecotoxicological data.
As the online search interface doesn't come with an API, this
package provides the means to easily access and search the database
in R. To this end, all raw tables are downloaded from the EPA website
Imports: crayon, dplyr, rappdirs, readr, rvest, stringr, utils

Author: Pepijn de Vries [aut, cre, dtc] (0000-0002-7961-6646)
Imports: crayon, dbplyr, dplyr, httr, purrr, rappdirs, readr, rlang,
rvest, stringr, tibble, tidyr, tidyselect, utils
Suggests: DBI, standartox, testthat (>= 3.0.0), webchem

Title: The 'ECS Fargate' Cloud Provider for the 'DockerParallel'
Description: Providing the implementation for the 'ECS Fargate' cloud provider.
For the general information about 'ECS', please visit <https://aws.amazon.com/ecs/>.
Imports: aws.ecx, methods, DockerParallel, jsonlite, utils, aws.iam

Title: Cointegration Based Timedelay Neural Network Model
Authors@R: c(person("Pankaj", "Das", role = c("aut","cre"),email="pankaj.das2@icar.gov.in"),person("Achal", "Lama", role = "aut",email="achal.lama@icar.gov.in"),
person("Girish Kumar", "Jha", role = "aut",email="grish.stat@gmail.com"))
Description: This cointegration based Time Delay Neural Network Model hybrid model allows the researcher to make use of the information extracted by the cointegrating vector as an input in the neural network model.