Standard and Nonstandard Statistical Models and Methods for Test Equating

ACTmKB | Scores on two 40-items ACT mathematics test forms |

bandwidth | Automatic selection of the bandwidth parameter 'h' |

BNP.eq | Bayesian non-parametric model for test equating |

BNP.eq.predict | Prediction step for Bayesian non-parametric model for test... |

CBdata | Observed (raw) score values for two different tests |

contaminate_sample | Contaminate a sample on different quantile based cutpoints |

eqp.eq | The equipercentile method of equating |

fitmeasures | Functions to assess model fitting. |

irt.eq | IRT methods for Test Equating |

irt.link | IRT parameter linking methods |

KB36 | Data on two 36-items test forms |

KB36.1PL | Difficulty parameter estimates for KB36 data under a 1PL... |

KB36_t | Data on two 36-items test forms |

ker.eq | The Kernel method of test equating |

le.eq | Local equating methods |

lin.eq | The linear method of equating |

loglin.smooth | Pre-smoothing using log-linear models. |

Math20EG | Scores on two 20-items mathematics tests. |

Math20SG | Bivariate score frequencies on two 20-items mathematics... |

mea.eq | The mean method of equating |

pasted_table_to_df | Transform a table from String to Data Frame. |

PREp | Percent relative error |

rowBlockSum | Take a matrix and sum blocks of rows |

SEED | Standard error of equating difference |

sim_unimodal | Simulate different unimodal distributions. |

SNSequate-package | Standard and Nonstandard Statistical Models and Methods for... |

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