mmir_model: Fit Restriktor Supported Model

In mmirestriktor: Informative Hypothesis Testing Web Applications

Fit Restriktor Supported Model

Description

mmir_model() is a function for the 'mmirestriktor' package that fits a model to data using one of the specified engines ('lm', 'glm', or 'rlm'). It also provides an option to standardize numeric variables.

Usage

mmir_model(formula, data, engine = "lm", standardize = TRUE, ...)

Arguments

formula	An object of class 'formula' (or one that can be coerced to that class): a symbolic description of the model to be fitted.
data	A data frame containing the variables in the model.
engine	A character string indicating which engine to use for model fitting. Can be one of 'lm', 'glm', or 'rlm'. Default is 'lm'.
standardize	Logical. If TRUE, numeric predictor variables in 'data' are standardized before fitting the model. Default is TRUE.
...	Additional arguments to be passed to the model fitting function (lm, glm, or rlm).

Details

The mmir_model() function serves as a utility function for fitting models in the 'mmirestriktor' package. It supports different modeling engines and allows for variable standardization.

Value

An object representing the fitted model, of class 'lm', 'glm', or 'rlm' depending on the engine used.

See Also

lm, glm, rlm

Examples

mod <- mmir_model(mpg ~ hp + wt, data = mtcars, engine = "lm")
summary(mod)

mmirestriktor documentation built on June 24, 2024, 1:07 a.m.