Description Usage Arguments Value Examples

`rmse`

computes the root mean squared error (RMSE)
of two numeric vectors/matrices

`freq`

computes the frequency counts of
a numeric or character vector

`cronbach_alpha`

computes the Cronbach's alpha
internal consistency reliability index

`spearman_brown`

predicts the reliability when the
current test is extended to n times longer

`spearman_brown_reverse`

computes how many times
the current test length needs to be extended in order to reach targeted
reliability

`quadratic kappa`

computes the quadratic weighted kappa
of two numeric vectors

1 2 3 4 5 6 7 8 9 10 11 | ```
rmse(x1, x2)
freq(x, vals = NULL, decimal = NULL)
cronbach_alpha(u)
spearman_brown(rho, n_len)
spearman_brown_reverse(rho, target_rho)
quadratic_kappa(x1, x2)
``` |

`x1` |
a numeric vector or matrix |

`x2` |
a numeric vector or matrix |

`x` |
a numeric or character vector |

`vals` |
valid values, |

`decimal` |
round results to n-th decimal places |

`u` |
oberved responses, 2d matrix |

`rho` |
the reliability of the current test |

`n_len` |
extend the test to n times longer |

`target_rho` |
the targeted reliability |

`freq`

returns the frequency counts and percentages in a data.frame

1 2 3 4 5 6 | ```
rmse(rnorm(10), rnorm(10))
freq(round(runif(100, 1, 5)))
cronbach_alpha(model_3pl_gendata(1000, 20)$u)
spearman_brown(.70, 2)
spearman_brown_reverse(.70, .85)
quadratic_kappa(round(runif(100, 1, 5)), round(runif(100, 1, 5)))
``` |

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