Description: Provides a number of functions to facilitate the handling and production of reports using time series data.
The package was developed to be understandable for beginners, so some functions aim to transform processes that would be
complex into functions with a few lines. The main advantage of using the 'metools' package is the ease of producing reports and
working with time series using a few lines of code, so the code is clean and easy to understand/maintain.
Learn more about the 'metools' at <https://metoolsr.wordpress.com>.
Imports: ggplot2, scales, stringr, tibble, lubridate, tidyr
Packaged: 2020-06-26 07:50:54 UTC; João Victor
Author: João Victor Gomes de Araujo Santana [aut, cre]
Maintainer: João Victor Gomes de Araujo Santana <jvg.santana@gmail.com>

Title: Test Metric and Null Model Statistical Performance
Description: Explore the behavior and performance of phylogenetic metrics and
Author: Eliot Miller, Chris Trisos & Damien Farine
Imports: methods, geiger, spacodiR, dplyr, picante, foreach,
Packaged: 2016-03-29 16:20:11 UTC; eliotmiller

Packaged: 2016-05-10 18:20:52 UTC; eliotmiller

Packaged: 2016-06-25 02:39:11 UTC; eliotmiller

Packaged: 2016-07-27 14:47:28 UTC; eliotmiller

Packaged: 2017-02-16 04:35:09 UTC; eliotmiller

Description: Explore the behavior and statistical performance of 13 pre-defined
phylogenetic metrics and 11 null models, and of user-defined metrics
and null models, as detailed in Miller et al. (2017) <doi:10.1111/ecog.02070>.
Packaged: 2017-05-09 15:28:56 UTC; eliotmiller

Packaged: 2017-10-31 18:32:36 UTC; eliotmiller

person("Adrian A.", "Correndo", email = "correndo@ksu.edu", role = c("cre", "cph"), comment = c(ORCID = "0000-0002-4172-289X")),
person("Adrian A.", "Correndo", email = "correndo@ksu.edu", role = c("aut"), comment = c(ORCID = "0000-0002-4172-289X")),
person("Luiz H.", "Moro Rosso", email = "lhmrosso@ksu.edu", role = "aut", comment = c(ORCID = "0000-0002-8642-911X")),
person("Rai", "Schwalbert", email = "rai.schwalbert@hotmail.com", role = "aut", comment = c(ORCID = "0000-0001-8488-7507")),
person("Carlos", "Hernandez", email = "carlosh92@ksu.edu", role = "aut", comment = c(ORCID = "0000-0000-0000-0000")),
person("Leonardo M.", "Bastos", email = "leonardombastos@gmail.com", role = "aut", comment = c(ORCID = "0000-0001-8958-6527")),
person("Dean", "Holzworth", email = "dean.holzworth@csiro.au", role = "aut"),
person("Ignacio A.", "Ciampitti", email = "ciampitti@ksu.edu", role = "aut", comment = c(ORCID = "0000-0001-9619-5129")))
Description: A compilation of more than 40 functions designed to evaluate prediction performance of point-forecast models accounting for different aspects of the agreement between predicted and observed values. It includes error metrics (e.g. MAE, RMSE), model efficiencies (e.g. NSE, KGE), indices of agreement (e.g. d, RAC), goodness of fit (e.g. r, R2), concordance correlation (e.g. CCC), error decomposition (e.g. lack of accuracy-precision), and plots the visualize agreement. For more details visit the vignettes <https://adriancorrendo.github.io/metrica/>.
Suggests: covr, tidyverse, knitr, rmarkdown, apsimx, testthat (>=
Imports: stats, ggplot2, dplyr, rlang, tidyr, viridis, utils, DBI,
Author: Adrian A. Correndo [cre, cph] (<https://orcid.org/0000-0002-4172-289X>),
Adrian A. Correndo [aut] (<https://orcid.org/0000-0002-4172-289X>),
Luiz H. Moro Rosso [aut] (<https://orcid.org/0000-0002-8642-911X>),
Ignacio A. Ciampitti [aut] (<https://orcid.org/0000-0001-9619-5129>)
Maintainer: Adrian A. Correndo <correndo@ksu.edu>