dplyr, Hmisc, magrittr, purrr, rlang, tibble
covr, knitr, matsindf, rmarkdown, testthat, tidyr

assertthat, dplyr, Hmisc, magrittr, purrr, rlang, stringi,
tibble

assertthat, dplyr, lifecycle, magrittr, purrr, RCLabels,
rlang, tibble

Provides functions to collapse a tidy data frame into matrices in a data frame
and expand a data frame of matrices into a tidy data frame.
dplyr, magrittr, matsbyname, purrr, rlang, rlist, tibble,
tidyr
ggplot2, knitr, rmarkdown, testthat, covr

dplyr, magrittr, matsbyname, purrr, rlang, tibble, tidyr
covr, ggplot2, knitr, RCLabels, rmarkdown, spelling, testthat

ggplot2, knitr, rmarkdown, testthat, covr, spelling

person(given = "Jose", family = "Fernandez", role = c("aut", "cre"), email = "jose.fernandezdv@gmail.com")
Identifying maturation stages across young athletes is paramount for talent identification. Furthermore, the concept of biobanding, or grouping of athletes based on their biological development, instead of their chronological age, has been widely researched. The goal of this package is to help professionals working in the field of strength & conditioning and talent ID obtain common maturation metrics and as well as to quickly visualize this information via several plotting options. For the methods behind the computed maturation metrics implemented in this package refer to Khamis, H. J., & Roche, A. F. (1994) <https://pubmed.ncbi.nlm.nih.gov/7936860/>, Mirwald, R.L et al., (2002) <https://pubmed.ncbi.nlm.nih.gov/11932580/> and Cumming, Sean P. et al., (2017) <doi:10.1519/SSC.0000000000000281>.
dplyr, ggplot2, lubridate, tidyr, magrittr, ggrepel

Decision Models with Multi Attribute Utility Theory
Felipe Aguirre, Julio Andrade, Pedro Guarderas, Daniel Lagos,
Andres Lopez, Nelson Recalde, Edison Salazar.
Build and test decision models based in Multi Attribute Utility Theory (MAUT).
Automatic evaluation of utilities at any level of the decision tree, weight simulations for
sensitivity analysis.
data.table, gtools, stringr, igraph, RColorBrewer, ggplot2