# Continuous Norming

## Documentation for package ‘cNORM’ version 1.2.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

cNORM-package | cNORM: Continuous Norming
bestModel | Retrieve the best fitting regression model based on powers of A, L and interactions
boxcox | Generate box cox power function for regression model at specific age
calcPolyInL | Internal function for retrieving regression function coefficients at specific age
CDC | BMI growth curves from age 2 to 25
checkConsistency | Check the consistency of the norm data model
cNORM | cNORM: Continuous Norming
cnorm.cv | Cross validation for term selection
cNORM.GUI | Launcher for the graphical user interface of cNORM
computePowers | Compute powers of the explanatory variable a as well as of the person location l (data preparation)
derivationTable | Create a table based on first order derivative of the regression model for specific age
derive | Derivative of regression model
elfe | Sentence completion test from ELFE 1-6
getNormCurve | Computes the curve for a specific T value
life | Life expectancy at birth from 1960 to 2017
mortality | Mortality of infants per 1000 life birth from 1960 to 2017
normTable | Create a norm table based on model for specific age
plotBoxCox | Plot regression model versus box cox for a specific age
plotDensity | Plot the density function per group by raw score
plotDerivative | Plot first order derivative of regression model
plotNorm | Plot manifest and fitted norm scores
plotNormCurves | Plot norm curves
plotPercentiles | Plot norm curves against actual percentiles
plotPercentileSeries | Generates a series of plots with number curves by percentile for different models
plotRaw | Plot manifest and fitted raw scores
plotSubset | Evaluate information criteria for regression model
ppvt | Vocabulary development from 4 to 16
predictNorm | Retrieve norm value for raw score at a specific age
predictNormBC | Calculate the norm value for a given raw value based on the parametric box cox distribution
predictRaw | Predict single raw value
predictRawBC | Calculate the raw score for a given percentile based on the parametric box cox distribution
prepareData | Prepare data for modelling in one step (convenience method)
printSubset | Convenience method for printing model selection information
rangeCheck | Check for horizontal and vertical extrapolation
rankByGroup | Determine the norm scores of the participants in each subsample
rankBySlidingWindow | Determine the norm scores of the participants by sliding window (experimental)
rawTable | Create a table with norm scores assigned to raw scores for a specific age based on the regression model
regressionFunction | Regression function
simMean | Simulate mean per age
simSD | Simulate sd per age
simulateRasch | Simulate raw test scores based on Rasch model