Suggests: connectapi, covr, DT, graphics, grid, htmltools, htmlwidgets,
kableExtra, knitr, pkgdown, png, rmarkdown, rsconnect, RWeka,
stringi, textutils, tinytest, tools, usethis, utils, webshot2,
(https://pandoc.org/). Text mining using n-grams requires
Author: Jason C. Fisher [aut, cre] (<https://orcid.org/0000-0001-9032-8912>),

Title: Get the Insights of your Neural Network
individual predictions of modern neural networks. Implemented methods
are: 'Connection Weights' described by Olden et al. (2004)
Propagation ('LRP') described by Bach et al. (2015)
<doi:10.1371/journal.pone.0130140>, Deep Learning Important Features
('DeepLIFT') described by Shrikumar et al.  (2017) <arXiv:1704.02685>
and gradient-based methods like 'SmoothGrad' described by Smilkov et
al. (2017) <arXiv:1706.03825>, 'Gradient x Input' described by
Baehrens et al. (2009) <arXiv:0912.1128> or 'Vanilla Gradient'.
Suggests: keras, knitr, neuralnet, plotly, rmarkdown, tensorflow,
Author: Niklas Koenen [aut, cre] (<https://orcid.org/0000-0002-4623-8271>),

Suggests: covr, keras, knitr, neuralnet, plotly, rmarkdown, tensorflow,

Title: Initialization of Numerical Optimization
Description: Implementation of several initialization strategies for the
numerical optimization of real-valued functions, in particular likelihood
Imports: ggplot2, rlang, RprobitB, mvtnorm, evd, crayon, progress,
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), purrr, pracma
Packaged: 2022-07-15 12:24:03 UTC; loelschlaeger

Description: Implementation of initialization strategies for the
Imports: ggplot2, rlang, mvtnorm, crayon, cli, progress, dplyr,
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), purrr, pracma, fHMM
Packaged: 2022-09-28 13:12:36 UTC; loelschlaeger

Title: Infix Operators for Detection, Subsetting and Replacement
person("Antoine", "Fabri", email = "antoine.fabri@gmail.com", role = c("aut", "cre")),
person("Karolis", "Koncevičius", email = "karolis.koncevicius@gmail.com", role = "aut")
Description: Infix operators to detect, subset, and replace the elements matched by a given condition.
The functions have several variants of operator types, including subsets, ranges, regular expressions and others.
Implemented operators work on vectors, matrices, and lists.
Suggests: testthat (>= 2.1.0), purrr, knitr, rmarkdown, dplyr,