R: An Extractor Function for Model Parameters

get_parameters {mi} | R Documentation

## An Extractor Function for Model Parameters

### Description

This function is not intended to be called directly by users. During the multiple imputation process, the `mi` function estimates models and stores the estimated parameters in the `parameters` slot of an object that inherits from the `missing_variable-class`. The `get_parameter` function simply extracts these parameters for storeage, which are usually the estimated coefficients but may also include ancillary parameters.

### Usage

    get_parameters(object, ...)

### Arguments

`object` | Usually an estimated model, such as that produced by `glm`
`...` | Additional arguments, currently not used

### Details

There is method for the object produced by `polr`, which also returns the estimated cutpoints in a proportional odds model. However, the default method simply calls `coef` and returns the result. If users implement their own models, it may be necessary to write a short `get_parameters` method.

### Value

A numeric vector of estimated parameters

### Author(s)

Ben Goodrich and Jonathan Kropko, for this version, based on earlier versions written by Yu-Sung Su, Masanao Yajima, Maria Grazia Pittau, Jennifer Hill, and Andrew Gelman.

### See Also

`fit_model`

### Examples

    showMethods("get_parameters")

[Package mi version 1.0 Index]