summary.mires {MIRES} | R Documentation |
Summary method for mires object.
Description
Computes summaries for MIRES objects.
Usage
## S3 method for class 'mires'
summary(object, prob = 0.95, less_than = 0.1, ...)
Arguments
object |
mires object. |
prob |
Numeric (Default = .95). Probability mass to be contained in the highest posterior density interval. |
less_than |
Numeric (Default: .1; positive). Value at which to assess Pr(SD < less_than|D). |
... |
Not used. |
Details
Computes summary tables for fixed measurement parameters (loadings, residual SDs, and intercepts) and random effect standard deviations (resd). The printed output includes the posterior mean, median, SD, and .95 (Default) highest density intervals. HDIs were chosen instead of quantile intervals because the random effect SDs can be on the boundary of zero if invariance is plausible. Additionally, other columns exist to help aid decisions about invariance:
- BF01
Bayes factor of invariance (Variance = 0) to non-invariance (Variance > 0)
- BF10
Bayes factor of non-invariance (Variance > 0) to invariance (Variance = 0). The inverse of BF01 for convenience
- Pr(SD <=
less_than
) The posterior probability that the random effect SD is less than
less_than
(Default: .1). Setless_than
to a value below which you would consider the variance to be effectively ignorable.- BF(SD <=
less_than
) The Bayes Factor comparing effectively-invariant (SD <
less_than
) to non-invariant (SD >less_than
). Setless_than
to a value below which you would consider variance to be effectively ignorable. This uses the encompassing prior approach.
Value
summary.mires object. List of meta data and summary. Summary is list of summary tables for all fixed effects parameters.
Author(s)
Stephen R. Martin