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| 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 | Set up example dataset and compute model |
| 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 |