bestModel |
Best-fitting Regression Model Based on Powers and Interactions |
betaByGroup |
Estimate Beta-Binomial Parameters by Group |
betaCoefficients |
Compute Parameters of a Beta Binomial Distribution |
betaContinuous |
Continuous Norming with Beta-Binomial Distribution (experimental) |
betaNormTable |
Generate norm table from parametric continuous norming with Beta-Binomial Parameters |
betaTable |
Calculate Cumulative Probabilities, Density, Percentiles, and Z-Scores for Beta-Binomial Distribution |
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 |
calcPolyInLBase2 |
Internal function for retrieving regression function coefficients at specific age (optimized) |
CDC |
BMI growth curves from age 2 to 25 |
checkConsistency |
Check the consistency of the norm data model |
checkWeights |
Check, if NA or values <= 0 occur and issue warning |
cnorm |
Continuous Norming |
cnorm.cv |
Cross-validation for Term Selection in cNORM |
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) |
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 |
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) or root mean square error (RMSE) of the norm scores In case of large datasets, both results should be almost identical |
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 2.5 to 17 |
predictBeta |
Predicts beta coefficients in dependence of age |
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) |
prettyPrint |
Format raw and norm tables The function takes a raw or norm table, condenses intervals at the bottom and top and round the numbers to meaningful interval. |
print.cnorm |
S3 method for printing model selection information |
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 (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 |
standardizeRakingWeights |
Function for standardizing raking weights Raking weights get divided by the smallest weight. Thereby, all weights become larger or equal to 1 without changing the ratio of the weights to each other. |
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.inflation |
Weighted quantile estimator through case inflation |
weighted.quantile.type7 |
Weighted type7 quantile estimator |
weighted.rank |
Weighted rank estimation |