knitr::opts_chunk$set(collapse = TRUE, comment = "") options(tibble.print_min = 6L, tibble.print_max = 6L, width = 80)
Binary classification modeling with alookr
.
Features:
The name alookr
comes from looking at the analytics process
in the data analysis process.
The released version is available on CRAN.
install.packages("alookr")
Or you can get the development version without vignettes from GitHub:
devtools::install_github("choonghyunryu/alookr")
Or you can get the development version with vignettes from GitHub:
install.packages(c("ISLR", "spelling", "mlbench")) devtools::install_github("choonghyunryu/alookr", build_vignettes = TRUE)
alookr includes several vignette files, which we use throughout the documentation.
The provided vignettes are as follows.
browseVignettes(package = "alookr")
For information on using the alookr package, refer to the following website.
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