model_train: train a model, easily

In LSTbook: Data and Software for "Lessons in Statistical Thinking"

train a model, easily

Description

An interface to several of the most often used model-fitting routines designed to make it easy to construct.

Usage

model_train(
  data,
  tilde,
  family = c("auto", "lm", "linear", "binomial", "poisson", "rlm")
)

Arguments

data	Data frame to use as training data
tilde	Formula for the model
family	Character string: the family of model to fit, e.g. "lm", "binomial", "poisson", "rlm", ...

Details

Since data may be piped into this function, the training data frame will be called simply "data", the name of the first argument to this function. In order to be able to access the training data in such cases, the training data is assigned to an attribute of the resulting model, "training_data".

Value

An object of class "model_object". This is much the same as an "lm" or "glm" object but with the additional attribute of the training data and a printing method that encourages the use of the regression summary methods conf_interval(), R2(), or anova_summary()

LSTbook documentation built on April 3, 2025, 6:02 p.m.