The goal of KintorModel is a backup of scripts for model build.
it uses tidymodels as the main package, and introduce detail steps in clinical research.
library(tidymodels)
#> Registered S3 method overwritten by 'tune':
#> method from
#> required_pkgs.model_spec parsnip
#> ── Attaching packages ────────────────────────────────────── tidymodels 0.1.4 ──
#> ✓ broom 0.7.9 ✓ recipes 0.1.17
#> ✓ dials 0.0.10 ✓ rsample 0.1.0
#> ✓ dplyr 1.0.7 ✓ tibble 3.1.5
#> ✓ ggplot2 3.3.5 ✓ tidyr 1.1.4
#> ✓ infer 1.0.0 ✓ tune 0.1.6
#> ✓ modeldata 0.1.1 ✓ workflows 0.2.4
#> ✓ parsnip 0.1.7 ✓ workflowsets 0.1.0
#> ✓ purrr 0.3.4 ✓ yardstick 0.0.8
#> ── Conflicts ───────────────────────────────────────── tidymodels_conflicts() ──
#> x purrr::discard() masks scales::discard()
#> x dplyr::filter() masks stats::filter()
#> x dplyr::lag() masks stats::lag()
#> x recipes::step() masks stats::step()
#> • Learn how to get started at https://www.tidymodels.org/start/Clinial research always use linear regression, logistic regression, Cox regression. Easystats make this much easier!
library(easystats)
#> # Attaching packages: easystats 0.4.2
#> ✔ insight 0.14.4 ✔ datawizard 0.2.1
#> ✔ bayestestR 0.11.0 ✔ performance 0.8.0
#> ✔ parameters 0.14.0.1 ✔ effectsize 0.5
#> ✔ modelbased 0.7.0 ✔ correlation 0.7.1
#> ✔ see 0.6.8 ✔ report 0.4.0