View source: R/query-functions.R
fetchFiniteSD | R Documentation |
Extract the finite-population standard deviation of main effects and interactions in hierarchical models.
fetchFiniteSD(filename, probs = c(0.025, 0.5, 0.975), iterations = NULL)
filename |
The name of the file where the output from the
|
probs |
A vectors of quantiles, for summarizing the standard deviations. |
iterations |
A vector of positive integers giving the iterations to be extracted. |
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.
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.
Gelman, A. (2004) Analysis of variance: why it is more important than ever (with discussion). Annals of Statistics. 33(1): 1-53.
estimateModel
, estimateCounts
,
estimateAccount
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