knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
The goal of bis557 is to have two functions here: one for linear model and another for gradient descent
You can install the released version of bis557 from CRAN with:
install.packages("bis557")
This is a basic example which shows you how to solve a common problem:
library(bis557) ## basic example code data(iris) #The example for function linear_model linear_model(Sepal.Length ~ ., iris,contrasts = NULL)$coefficients
In that case, don't forget to commit and push the resulting figure files, so they display on GitHub!
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