person("Dom","Clarke",email = "dom.clarke@peak.ai", role = c("aut", "cre")),
person("Stuart", "Davie",email = "stuart.davie@peak.ai", role = "aut"),
Imports: ggplot2 (>= 3.3.0), GGally (>= 2.0.0), clustMixType (>=
Packaged: 2022-06-17 13:30:02 UTC; oskarnummedal

Title: Contextual Importance and Utility
Description: Implementation of the Contextual Importance and Utility
(CIU) concepts for Explainable AI (XAI). A recent description of CIU
can be found in e.g. Främling (2020) <arXiv:2009.13996>.
Imports: graphics, stats, Rcpp, grDevices, ggplot2

Imports: graphics, stats, Rcpp, grDevices, crayon, ggplot2

Title: Kabaila and Giri (2009) Confidence Interval
email = "nishikaoshadini@gmail.com", role = "aut"),
person("Paul", "Kabaila", email = "P.Kabaila@latrobe.edu.au", role = c("aut", "cre")))
Computes a confidence interval for a specified linear combination of
the regression parameters in a linear regression model with iid normal
errors with unknown variance when there is uncertain prior information
that a distinct specified linear combination of the regression
parameters takes a specified number. This confidence interval, found by
numerical nonlinear constrained optimization, has the required minimum coverage
and utilizes this uncertain prior information through desirable
expected length properties. This confidence interval is proposed by
Imports: functional, nloptr, pracma, PreciseSums, statmod

Title: R Client for the 'Civis data science API'
person("Patrick", "Miller", email = "pmiller@civisanalytics.com", role = c("cre", "aut")),
person("Keith", "Ingersoll", email = "kingersoll@civisanalytics.com", role = "aut"),
person("Bill", "Lattner", email = "wlattner@civisanalytics.com", role = "ctb"),
person("Anh", "Le", email = "ale@civisanalytics.com", role = "ctb"),
person("Michelangelo", "D'Agostino", email = "mdagostino@civisanalytics.com", role = "ctb"),
person("Sam", "Weiss", email = "sweiss@civisanalytics.com", role = "ctb"),
person("Danning", "Chen", email = "dchen@civisanalytics.com", role = "ctb"))
Description: A set of tools around common workflows and a convenient interface to make
requests directly to the 'Civis data science API' <https://www.civisanalytics.com/platform/>.
Imports: httr, jsonlite, lazyeval, assertthat, purrr, methods, stats,
roxygen2, DBI, dplyr (>= 0.7.0), dbplyr (>= 1.0.0), ggplot2,
memoise, stringr, devtools, testthat, lubridate, uuid, utils
Suggests: knitr, rmarkdown, DBItest, mockery, R.utils
Collate: 'await.R' 'civis_ml.R' 'civis_ml_plot.R' 'civis_ml_utils.R'