Summary for models using marginal standardization
Arguments
- object
Model
- dispersion
Not used
- correlation
Not used
- symbolic.cor
Not used
- level
Confidence level, defaults to
0.95
.- bootrepeats
Bootstrap repeats for standard errors. Defaults to 1000. Consider increasing.
- bootci
Type of bootstrap confidence interval:
"bca"
Default. Parametric BCa (bias-corrected accelerated) confidence intervals."normal"
Parametric normality-based confidence intervals, which require lower repeat numbers but are less accurate and may result in invalid results for ratios."nonpar"
Non-parametric BCa confidence intervals, which should be used with caution because of the risk of sparse-data bias with non-parametric bootstrapping.
- ...
Not used