Packaged: 2020-02-03 18:30:07 UTC; jlarmarange

Suggests: testthat, knitr, rmarkdown, questionr, snakecase, utf8

Imports: haven (>= 2.3.1), dplyr, lifecycle, rlang, vctrs, pillar,
Packaged: 2020-08-25 10:40:56 UTC; jlarmarange

Suggests: testthat, knitr, rmarkdown, questionr, snakecase, utf8, covr

Imports: haven (>= 2.3.1), dplyr (>= 1.0.0), lifecycle, rlang, vctrs,

Title: Make Labeling of R Data Sets Easy
Authors@R: person(given = "Adrian", family = "Maldet", role = c("aut", "cre"), email = "maldet@posteo.at")
Description: Assign meaningful labels to data frame columns.
'labelmachine' manages your label assignment rules in 'yaml' files
and makes it easy to use the same labels in multiple projects.
Suggests: testthat (>= 2.1.0), roxygen2 (>= 6.1.1), magrittr (>= 1.5),
rlang (>= 0.4.0), covr, knitr, rmarkdown
Collate: 'composerr.R' 'imports.R' 'utilities.R' 'lama_dictionary.R'

person("Artur", "Aiguzhinov", email = "aiguzhinov@gmail.com", role = "cre"),
person("Carlos", "Soares", email = "csoares@fe.up.pt", role = "aut"))
Description: An implementation of distance-based ranking algorithms to predict rankings of labels.  Two common algorithms are included: the naive Bayes and the nearest neighbor algorithms.

Title: Convert labels or tables to a dendrogram
Author: Vahid PARTOVI NIA <labeltodendro@probstat.ch>, Anthony Davison and Arpit Chaudhary
Maintainer: Vahid PARTOVI NIA <vahid@probstat.ch>
Description: The package offers a dendrogram representation of series af labels, this is specially needed in Markov chain Monte Carlo clustering. If you have a dendrogram in your mind you can easily put series of meaningful labels in a matrix and heights in a vector, then convert them to a dendrogram abject.
Packaged: Wed Feb 25 05:13:40 2009; rforge

Author: Vahid PARTOVI NIA, Anthony Davison, and Arpit Chaudhary
Maintainer: Vahid PARTOVI NIA <labeltodendro@probstat.ch>
Description: The package offers a dendrogram representation of series
of labels, this is specially needed in Markov chain Monte Carlo
clustering. If you have a dendrogram in your mind you can
easily put series of meaningful labels in a matrix and heights
in a vector, then convert them to a dendrogram abject.