Continuous Norming
Plot centiles of a fitted GAMLSS model (binomial-type)
Shape data for a composite scale based on normalized Z-scores
Estimate reliability across multiple window widths and age steps
Free order model selection procedure
Create a norm table based on a GAMLSS fitted model
Plot reliability estimates over age
Plot norm curves from a NormTable object
Estimate test reliability by age using a sliding window
Shape data as input for fb_select()
A toolbox for calculating continuous norms for psychological tests, where the norms can be age-dependent. The norms are based Generalized Additive Models for Location, Scale, and Shape (GAMLSS) for the test scores in the normative sample. The package includes functions for model selection, reliability estimation, and calculating norms, including confidence intervals. For more details, see Timmerman et al. (2021) <doi:10.1037/met0000348>.