person("Michael", "Mayer", , "mayermichael79@gmail.com", role = c("aut", "cre"))

An Alternative Conflict Resolution Strategy
R's default conflict management system gives the most recently
loaded package precedence. This can make it hard to detect conflicts,
particularly when they arise because a package update creates ambiguity
that did not previously exist. 'conflicted' takes a different approach,
making every conflict an error and forcing you to choose which function
to use.

R's default conflict management system gives the most
recently loaded package precedence. This can make it hard to detect
conflicts, particularly when they arise because a package update
creates ambiguity that did not previously exist. 'conflicted' takes a
different approach, making every conflict an error and forcing you to
choose which function to use.
callr, crayon, dplyr, Matrix, methods, pkgload, testthat (>=
3.0.0)

c(
person("Hiroaki", "Yutani", email = "hiroaki.yutani@linecorp.com", role = c("aut", "cre")),
person(family = "LINE Corporation", role = c("cph"))
)
Provides utilities for working with various 'Confluence' API
<https://docs.atlassian.com/ConfluenceServer/rest/latest/>, including a
functionality to convert an R Markdown document to 'Confluence' format and
upload it to 'Confluence' automatically.
askpass, commonmark, curl, glue, httr, knitr, miniUI, purrr,
rmarkdown, rstudioapi, shiny, stringi, xml2, R6, rlang
Hiroaki Yutani [aut, cre],
LINE Corporation [cph]

Conformal Prediction for Regression and Classification
R (>= 2.12.0), caret, ggplot2, grid, randomForest, e1071,
methods
Implementation of conformal prediction using caret models for classification and regression

R (>= 2.12.0), caret, ggplot2, e1071, methods, grid
Implementation of conformal prediction using caret models for classification and regression.

Transductive and Inductive Conformal Predictions for
Classification Problems
Implementation of transductive conformal prediction (see Vovk, 2013, <doi:10.1007/978-3-642-41142-7_36>) and inductive conformal prediction (see Balasubramanian et al., 2014, ISBN:9780124017153) for classification problems.
graphics, stats, randomForest, parallel, foreach, doParallel,
mlbench