iterativeModel {midasHLA} | R Documentation

## Iteratively evaluate model for different variables

### Description

Information about variable statistic from each model is extracted using `tidy` function.

### Usage

    iterativeModel(object, placeholder, variables, exponentiate = FALSE)

### Arguments

`object` | An existing fit from a model function such as lm, glm and many others.
`placeholder` | String specifying term to substitute with value from `x`. Ignored if set to `NULL`.
`variables` | Character vector specifying variables to use in association tests.
`exponentiate` | Logical flag indicating whether or not to exponentiate the coefficient estimates. Internally this is passed to `tidy`. This is typical for logistic and multinomial regressions, but a bad idea if there is no log or logit link. Defaults to FALSE.

### Value

Tibble containing per variable summarised model statistics. The exact output format is model dependent and controlled by model's dedicated `tidy` function.

[Package midasHLA version 1.2.0 Index]