CDC                     BMI growth curves from age 2 to 25
autoselect.betabinomial
                        Automatic model selection for beta-binomial
                        continuous norming via BIC
autoselect.shash        Automatic model selection for SinH-ArcSinH
                        continuous norming via BIC
bestModel               Determine Regression Model
betaCoefficients        Compute Parameters of a Beta Binomial
                        Distribution
buildCnormObject        Build cnorm object from data and bestModel
                        model object
cNORM.GUI               Launcher for the graphical user interface of
                        cNORM for distribution free continuous norming
cNORM.GUI2              Launch the cNORM Parametric Modeling Shiny
                        Application
calcPolyInL             Internal function for retrieving regression
                        function coefficients at specific age
calcPolyInLBase2        Internal function for retrieving regression
                        function coefficients at specific age
checkConsistency        Check the consistency of the norm data model
cnorm                   Continuous Norming
cnorm.betabinomial      Fit a beta-binomial regression model for
                        continuous norming
cnorm.cv                Cross-validation for Term Selection in cNORM
cnorm.shash             Fit a Sinh-Arcsinh (shash) Regression Model for
                        Continuous Norming
compare                 Compare Two Norm Models Visually
computePowers           Compute powers of the explanatory variable a as
                        well as of the person location l (data
                        preparation)
computeWeights          Weighting of cases through iterative
                        proportional fitting (Raking)
derivationTable         Create a table based on first order derivative
                        of the regression model for specific age
derive                  Derivative of regression model
diagnostics.betabinomial
                        Diagnostic Information for Beta-Binomial Model
elfe                    Sentence completion test from ELFE 1-6
getGroups               Determine groups and group means
getNormCurve            Computes the curve for a specific T value
getNormScoreSE          Calculates the standard error (SE) or root mean
                        square error (RMSE) of the norm scores. In case
                        of large datasets, both results should be
                        almost identical.
modelSummary            Prints the results and regression function of a
                        cnorm model
normTable               Create a norm table based on model for specific
                        age
normTable.betabinomial
                        Calculate Cumulative Probabilities, Density,
                        Percentiles, and Z-Scores for Beta-Binomial
                        Distribution
normTable.shash         Calculate Norm Tables for Sinh-Arcsinh
                        Distribution
plot.cnorm              S3 function for plotting cnorm objects
plot.cnormBetaBinomial
                        Plot cnormBetaBinomial Model with Data and
                        Percentile Lines
plot.cnormBetaBinomial2
                        Plot cnormBetaBinomial2 Model with Data and
                        Percentile Lines
plot.cnormShash         Plot Sinh-Arcsinh Model with Data and
                        Percentile Lines
plotCnorm               General convenience 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
plotPercentileSeries    Generates a series of plots with percentile
                        curves for different models
plotPercentiles         Plot norm curves against actual percentiles
plotRaw                 Plot manifest and fitted raw scores
plotSubset              #' Evaluate information criteria for regression
                        model
ppvt                    Vocabulary development from 2.5 to 17
predict.cnormBetaBinomial
                        Predict Norm Scores from Raw Scores
predict.cnormBetaBinomial2
                        Predict Norm Scores from Raw Scores
predict.cnormShash      Predict Norm Scores from Raw Scores
predictMoments          Model-Implied Distributional Moments at
                        Specific Ages
predictNorm             Retrieve norm value for raw score at a specific
                        age
predictRaw              Predict raw values
prepareData             Prepare data for modeling in one step
                        (convenience method)
print.cnorm             S3 method for printing model selection
                        information
print.cnormShash        Print method for Sinh-Arcsinh objects
printSubset             Print 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
rawTable                Create a table with norm scores assigned to raw
                        scores for a specific age based on the
                        regression model
regressionFunction      Regression function
shash                   Sinh-Arcsinh (shash) Distribution
simMean                 Simulate mean per age
simSD                   Simulate sd per age
simulateRasch           Simulate raw test scores based on Rasch model
standardize             Standardize a numeric vector
summary.cnorm           S3 method for printing the results and
                        regression function of a cnorm model
summary.cnormBetaBinomial
                        Summarize a Beta-Binomial Continuous Norming
                        Model
summary.cnormBetaBinomial2
                        Summarize a Beta-Binomial Continuous Norming
                        Model
summary.cnormShash      Summarize a Sinh-Arcsinh Continuous Norming
                        Model
taylorSwift             Swiftly compute Taylor regression models for
                        distribution free continuous norming
weighted.quantile       Weighted quantile estimator
weighted.quantile.harrell.davis
                        Weighted Harrell-Davis quantile estimator
weighted.quantile.inflation
                        Weighted quantile estimator through case
                        inflation
weighted.quantile.type7
                        Weighted type7 quantile estimator
weighted.rank           Weighted rank estimation
weightedAverageModel    BIC-Weighted Model Averaging Across Consistent
                        Candidate Models
