Description Usage Arguments Details Value Author(s) References See Also Examples

Calculates the percent relative error (PRE) between an equated distribution and the reference distribution for the first ten moments.

1 | ```
PREp(eq, obs, r, s)
``` |

`eq` |
A numeric vector containing the equated values from X to Y or Y to X. |

`obs` |
The score vector of test Y or X. |

`r` |
A vector of probabilities corresponding to the equated values. |

`s` |
A vector of probabilities corresponding to the score values of test Y or X. |

If we equate test X to test Y, then we have equated values eYx with estimated probabilities r and estimated probabilities s for the score values on Y. To compare the moments between these two distributions, we can calculate the percent relative error (PRE) between them. If we denote the p:th moment of Y and eYx by *μ(Y)* and *μ(eYx)* respectively, the PRE for moment p is defined as

*
PRE(p) = 100*(μ(eYx)-μ(Y))/μ(Y).*

A numeric vector containing the percentage relative error for the first ten moments.

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Andersson, B., Branberg, K., Wiberg, M. (2013). Performing the Kernel Method of Test Equating with the Package **kequate**. *Journal of Statistical Software*, **55(6)**, 1–25. URL http://www.jstatsoft.org/v55/i06/

von Davier, A.A., Holland, P.W., Thayer, D.T. (2004). *The Kernel Method of Test Equating.* Springer-Verlag New York.

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kequate documentation built on May 29, 2017, 11:32 p.m.

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