cli, dials, dplyr, ggplot2, purrr, rlang, tibble, tidyr,
tidyselect, utils, vctrs, workflows (>= 0.2.3)
BradleyTerry2, covr, discrim, klaR, lme4, modeldata, parsnip,
ranger, recipes (>= 0.1.15), rpart, rsample, spelling,
testthat, yardstick

cli, dials (>= 0.1.0), dplyr, ggplot2, purrr, rlang, tibble,
tidyr, tidyselect, utils, vctrs, workflows (>= 0.2.6)
BradleyTerry2, covr, discrim, klaR, lme4, modeldata, parsnip
(>= 0.2.1), ranger, recipes (>= 0.2.0), rpart, rsample,
spelling, testthat, yardstick

cli, dials (>= 0.1.0), dplyr, ggplot2, purrr, rlang, tibble,
tidyr, tidyselect, utils, workflows (>= 0.2.6)

cli, dials (>= 0.1.0), dplyr, ggplot2, parsnip (>= 1.0.2),
purrr, rlang, tibble, tidyr, tidyselect, utils, workflows (>=
0.2.6), vctrs
BradleyTerry2, covr, discrim, kknn, klaR, lme4, modeldata,
ranger, recipes (>= 0.2.0), rpart, rsample, spelling, testthat,
yardstick

c(
person("Ivan", "Lizaga", email = "lizaga.ivan10@gmail.com", role = c("aut", "cre")),
person("Borja", "Latorre", role = "aut"),
person("Leticia", "Gaspar", role = "aut"),
person("Ana", "Navas", role = "aut"),
person("Vince Q", "Vu", role = "ctb"))
Quantifies the provenance of the sediments in a catchment or study area. Based on a comprehensive characterization of the sediment sources and the end sediment mixtures a mixing model algorithm is applied to the sediment mixtures in order to estimate the relative contribution of each potential source. The package includes several statistical methods such as Kruskal-Wallis test, discriminant function analysis ('DFA'), principal component plot ('PCA') to select the optimal subset of tracer properties. The variability within each sediment source is also considered to estimate the statistical distribution of the sources contribution.
Ivan Lizaga [aut, cre],
Borja Latorre [aut],
Leticia Gaspar [aut],
Ana Navas [aut],
Vince Q Vu [ctb]

Functions to operate on binary fingerprint data
This package contains functions to manipulate binary fingerprints
of arbitrary length. A fingerprint is represented as a vector of integers, such
that each element represents the position in the fingerprint that is set to 1.
Basic operations such as logical AND, OR, NOT and XOR are supplied. Distance metrics are
also available. Fingerprints can be converted to Euclidean vectors (i.e., points
on the unit hypersphere)i and can also be folded using XOR.
Now, arbitrary fingerprint formats can be handled via line handlers