Authors@R: c(person("Jason", "Vander Heiden", role=c("aut", "cre"),
Title: AIRR Data Representation Standards
Description: Schema definitions and read, write and validation tools for data
formatted in accordance with the AIRR Data Representation standards defined
by the AIRR Community <http://docs.airr-community.org>.
Imports: methods, readr, stats, stringi, yaml
Maintainer: Jason Vander Heiden <jason.vanderheiden@yale.edu>

Title: AIRR Data Representation Reference Library
formatted in accordance with the AIRR Data Representation schemas defined

Maintainer: Jason Vander Heiden <jason.vanderheiden@gmail.com>

Imports: jsonlite, methods, readr, stats, stringi, tools, yaml
Suggests: knitr, rmarkdown, tibble, testthat

Title: Evaluation of Algorithm Collections Using Item Response Theory
Authors@R: person("Sevvandi", "Kandanaarachchi", email = "sevvandik@gmail.com",
Description: An evaluation framework for algorithm portfolios using Item Response
Theory (IRT). We use polytomous IRT models to evaluate algorithms and introduce
algorithm characteristics such as stability, effectiveness and anomalousness
Author: Sevvandi Kandanaarachchi [aut, cre]

Theory (IRT). We use continuous and polytomous IRT models to evaluate algorithms and introduce
Imports: pracma, mirt, tidyr, EstCRM, rlang

Imports: pracma, mirt, tidyr, EstCRM, rlang, dplyr, magrittr, tibble
Suggests: knitr, rmarkdown, ggplot2, gridExtra, scales

Title: Additive Isotonic Proportional Hazards Model
Description: Nonparametric estimation of additive isotonic covariate effects for proportional hazards model.
Author: Yunro Chung [aut, cre] (<https://orcid.org/0000-0001-9125-9277>)

Authors@R: c(person("Jason", "Thorpe", role = c("aut", "cre"),
Description: A thin wrapper around the 'ajv' JSON validation package for
JavaScript. See <http://epoberezkin.github.io/ajv/> for details.

Description: A tidy framework for automatic knowledge classification and visualization. Currently, the core functionality of the framework is mainly supported by modularity-based clustering (community detection) in keyword co-occurrence network, and focuses on co-word analysis of bibliometric research. However, the designed functions in 'akc' are general, and could be extended to solve other tasks in text mining as well.
Imports: igraph, dplyr, ggplot2, stringr, ggraph (>= 1.0.2), tidygraph
(>= 1.1.2), ggforce, textstem, tibble, tidytext, widyr, rlang,
Author: Tian-Yuan Huang [aut, cre] (<https://orcid.org/0000-0002-3591-4203>)