DESCRIPTION

Package: recalibratiNN
Title: Quantile Recalibration for Regression Models
Version: 0.3.0
Authors@R: 
  c(person(given = "Carolina",
           family = "Musso",
           role = c("aut", "cre", 'cph'),
           email = "cmusso86@gmail.com",
           comment = c(ORCID = "0000-0002-8107-6458")),
    person(given = "Ricardo",
           family = "Torres",
           role = c("aut", 'cph'),
           email = "ricardotbreis@gmail.com",
           comment = c(ORCID = "0009-0000-9100-7125")),
    person(given = "João",
           family = "Reis",
           role = c("aut", 'cph'),
           email = "j.rodriguesreis@gmail.com"),
    person(given = "Guilherme",
           family = "Rodrigues",
           role = c("aut","ths", 'cph'),
           email = "guilhermerodrigues@unb.br",
           comment = c(ORCID = "0000-0003-2009-4844")))
Description: Enables the diagnostics and enhancement of regression model calibration.It offers both global and local visualization tools for calibration diagnostics and provides one recalibration method: Torres R, Nott DJ, Sisson SA, Rodrigues T, Reis JG, Rodrigues GS (2024) <doi:10.48550/arXiv.2403.05756>. The method leverages on Probabilistic Integral Transform (PIT) values to both evaluate and perform the calibration of statistical models. For a more detailed description of the package, please refer to the bachelor's thesis available bellow.  
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
URL: https://bdm.unb.br/handle/10483/38504, https://github.com/cmusso86/recalibratiNN, https://cmusso86.github.io/recalibratiNN/
BugReports: https://github.com/cmusso86/recalibratiNN/issues
Imports: 
    stats(>= 3.0.0),
    dplyr(>= 1.0.0),
    ggplot2 (>= 3.0.0),
    purrr(>= 1.0.0),
    RANN(>= 2.0.0),
    tidyr(>= 1.0.0),
    tibble(>= 3.0.0),
    glue (>= 1.0.0),
    magrittr(>= 2.0.0),
    Hmisc (>= 5.0.0),
    Rdpack
RdMacros: Rdpack
Suggests: 
    knitr,
    rmarkdown,
    testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr