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| bestModel | Retrieve the best fitting regression model based on powers of A, L and interactions |
| buildFunction | Build regression function for bestModel |
| calcPolyInL | Internal function for retrieving regression function coefficients at specific age |
| calcPolyInLBase | 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 | 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 |
| epm | Simulated dataset (Educational and Psychological Measurement, EPM) |
| getGroups | Determine groups and group means |
| getNormCurve | Computes the curve for a specific T value |
| getNormScoreSE | Calculates the standard error (SE) of the norm scores |
| life | Life expectancy at birth from 1960 to 2017 |
| modelSummary | Prints the results and regression function of a cnorm model |
| mortality | Mortality of infants per 1000 life birth from 1960 to 2017 |
| normTable | Create a norm table based on model for specific age |
| plot.cnorm | S3 function for plotting cnorm objects |
| plotCnorm | General convencience plotting function |
| 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 |
| predictRaw | Predict single raw value |
| prepareData | Prepare data for modeling in one step (convenience method) |
| print.cnorm | S3 method for printing model selection information |
| 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 |
| summary.cnorm | S3 method for printing the results and regression function of a cnorm model |
| weighted.quantile | Weighted quantile estimator |
| weighted.quantile.harrell.davis | Weighted Harrell-Davis quantile estimator |
| weighted.quantile.type7 | Weighted type7 quantile estimator |
| weighted.rank | Weighted rank estimation |