DESCRIPTION

Package: sptidy
Title: Tidy-up linear regression and kmeans model outputs
Version: 0.0.0.9000
Authors@R: 
    c(person(given = "Jacob",
           family = "McFarlane",
           role = c("aut", "cre"),
           email = "jacob@jakenow.net"),
    person(given = "Asma",
           family = "Al-Odaini",
           role = c("aut")),
    person(given = "Peter",
           family = "Yang",
           role = c("aut")),
    person(given = "Heidi",
           family = "Ye",
           role = c("aut"))
           )
Description: Sptidy implements a tidy and augment function for base R’s linear regression and Tidymodel’s kmeans clustering to ease model selection and assessment tasks. This package is a simplified reimplementation of the existing tidy and augments functions in the Broom package. Sptidy’s family of tidy functions returns a dataframe that summarizes important model information, while the augment function expands the original dataframe to include additional model specific information by observation. This package is meant to complement Sktidy, a Python package that was created to tidy up the scikit-learn package.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1
Suggests: 
    testthat (>= 3.0.0),
    covr,
    knitr,
    rmarkdown
Config/testthat/edition: 3
URL: https://ubc-mds.github.io/sptidy, https://github.com/UBC-MDS/sptidy
BugReports: https://github.com/UBC-MDS/sptidy/issues
Imports: 
    tibble,
    dplyr,
    broom
VignetteBuilder: knitr