Continuous Norming


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Documentation for package ‘cNORM’ version 1.2.0

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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 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