Authors@R: c(person("Maëlle", "Salmon", email = "maelle.salmon@yahoo.se", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-2815-0399")),
person("Amanda", "Dobbyn", email = "amanda.e.dobbyn@gmail.com", role = c("aut")),
person("Thomas", "Leeper", role = c("rev"), comment = "Thomas Leeper reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/45"),
person("Jeroen", "Ooms", role = c("ctb")),
person("rOpenSci", role = c("fnd"), comment = c("https://ropensci.org/")),
person("Earlybird Software", role = c("fnd"), comment = c("http://earlybird.co/")))
Imports: cowsay, digest, dplyr, httr, jsonlite, magrittr, methods,
purrr, tibble (>= 1.2), tidyr, ratelimitr
Author: Maëlle Salmon [aut, cre] (<https://orcid.org/0000-0002-2815-0399>),
Thomas Leeper [rev] (Thomas Leeper reviewed the package for rOpenSci,

Title: Monotone multi-layer perceptron neural network
Description: Multi-layer perceptron neural network with partial

Title: Monotone Multi-Layer Perceptron Neural Network
Description: Train and make predictions from a multi-layer perceptron neural
network with partial monotonicity constraints.

network with optional partial monotonicity constraints.
Packaged: 2017-03-22 23:06:30 UTC; ECPACIFIC+cannona

Title: Multi-Layer Perceptron Neural Network with Optional Monotonicity
Packaged: 2017-12-04 22:55:46 UTC; ECPACIFIC+cannona

Title: Perform Monothetic Clustering with Extensions to Circular
Description: Implementation of the Monothetic Clustering
continuous data sets. A lot of extensions are included in the package,
including applying Monothetic clustering on data sets with circular
variables, visualizations with the results, and permutation and
cross-validation based tests to support the decision on the number of
Imports: cluster, doParallel, dplyr (>= 1.0.0), foreach, ggplot2,
graphics, grDevices, parallel, permute, purrr, rlang (>=

Title: Perform Monothetic Clustering with Extensions to Circular Data
Imports: cli (>= 2.0.0), cluster, doParallel, dplyr (>= 1.0.0),
foreach, ggplot2, graphics, grDevices, parallel, permute,
purrr, rlang (>= 0.3.0), stats, stringr, tibble (>= 3.0.0),