fetchFiniteSD {demest} | R Documentation

## Finite-population standard deviations.

### Description

Extract the finite-population standard deviation of main effects and interactions in hierarchical models.

### Usage

    fetchFiniteSD(filename, probs = c(0.025, 0.5, 0.975), iterations = NULL)

### Arguments

`filename` | The name of the file where the output from the `estimate` function is kept.
`probs` | A vectors of quantiles, for summarizing the standard deviations.
`iterations` | A vector of positive integers giving the iterations to be extracted.

### Details

In the hierarchical models discussed in `Model`, cell means are moderned using terms formed from cross-classifying dimensions such as age or sex, or from interactions between these dimensions. Adapting ideas from ANOVA, Gelman (2004: 408-409) propose that the finite-population standard deviations of these terms be used as a measure of the terms' relative importance. For instance, is an 'age' term has a greater finite-population standard deviation than a 'region' term in a model, this suggests that age is a more important predictor of outcomes than region.

### Value

A list of objects of class `"FiniteSD"` if `object` contains several hierarchical models; a single `"FiniteSD"` object if' `object` contains a single hierchical model; and `NULL` if `object` contains no hierarchical models.

### References

Gelman, A. (2004) Analysis of variance: why it is more important than ever (with discussion). Annals of Statistics. 33(1): 1-53.

### See Also

`estimateModel`, `estimateCounts`, `estimateAccount`

[Package demest version 0.0.0.3.1 Index]