An evaluation framework for algorithm portfolios using Item Response
Theory (IRT). We use continuous and polytomous IRT models to evaluate algorithms and introduce
algorithm characteristics such as stability, effectiveness and anomalousness
(Kandanaarachchi, Smith-Miles 2020) <doi:10.13140/RG.2.2.11363.09760>.

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

Additive Isotonic Proportional Hazards Model
c(person(given = "Yunro",
family = "Chung",
role = c("aut", "cre"),
email = "yunro.chung@asu.edu",
comment = c(ORCID = "0000-0001-9125-9277"))
)
Nonparametric estimation of additive isotonic covariate effects for proportional hazards model.

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

person(given = "Tian-Yuan",
family = "Huang",
role = c("aut", "cre"),
email = "huang.tian-yuan@qq.com",
comment = c(ORCID = "0000-0002-3591-4203"))
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.
igraph, dplyr, ggplot2, stringr, ggraph (>= 1.0.2), tidygraph
(>= 1.1.2), ggforce, textstem, tibble, tidytext, widyr, rlang,
magrittr, data.table (>= 1.12.6)
Tian-Yuan Huang [aut, cre] (<https://orcid.org/0000-0002-3591-4203>)

igraph, dplyr, ggplot2, stringr, ggraph (>= 1.0.2), tidygraph
(>= 1.1.2), ggforce, textstem, tibble, tidytext, widyr, rlang,
magrittr, data.table (>= 1.12.6), ggwordcloud (>= 0.5.0)

igraph, dplyr, ggplot2, stringr, ggraph (>= 1.0.2), tidygraph
(>= 1.1.2), ggforce, textstem, tibble, tidytext, widyr, rlang,
magrittr, data.table (>= 1.13.0), ggwordcloud (>= 0.5.0)