derive: Derivative of regression model

In cNORM: Continuous Norming

Derivative of regression model

Description

Calculates the derivative of the location / norm value from the regression model with the first derivative as the default. This is useful for finding violations of model assumptions and problematic distribution features as f. e. bottom and ceiling effects, non-progressive norm scores within an age group or in general #' intersecting percentile curves.

Usage

derive(model, order = 1)

Arguments

model	The regression model or a cnorm object
order	The degree of the derivate, default: 1

Value

The derived coefficients

See Also

Other model: bestModel(), checkConsistency(), cnorm.cv(), modelSummary(), print.cnorm(), printSubset(), rangeCheck(), regressionFunction(), summary.cnorm()

Examples

m <- cnorm(raw = elfe$raw, group = elfe$group)
derivedCoefficients <- derive(m)

cNORM documentation built on Nov. 4, 2024, 5:07 p.m.