'Non-parametric Continuous Norming in R'

bestModel | Retrieve the best fitting regression model based on powers of... |

boxcox | Generate box cox power function for regression model at... |

checkConsistency | Check the consistency of the norm data model |

cNORM | cNORM: Continuous Norming with R |

computePowers | Compute powers of the explanatory variable #' a as well as of... |

derivationTable | Create a table based on first derivation of the regression... |

derive | First derivation of regression model |

elfe | Sentence comprehension data from grade 2.0 to 5.0 |

getNormCurve | Computes the curve for a specific T value |

normTable | Create a norm table based on model for specific age |

plotDerivative | Plot first order derivation of regression model |

plotNormCurves | Plot norm curves |

plotPercentiles | Plot norm curves against actual percentiles |

plotSubset | Evaluate information criteria for regression model |

plotValues | Plot actual and predicted raw values |

predictNormValue | Retrieve norm value for raw score at a specific age |

predictRaw | Predict single raw value |

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 values of the participants in each... |

rankBySlidingWindow | Determine the norm values of the participants by sliding... |

rawTable | Create a table with norms assigned to raw values for a... |

rawTableQuick | Internal method for two step shotgun search of raw -> norm... |

regressionFunction | Regression function |

simData | Simulate curve linear and skewed sample data |

skewedNormal | Internal method for creating a skewed normal distribution |

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