Description Usage Arguments Value

View source: R/measureFunctions.R

Calculate the negative log likelihood for model results compaired to paired data mean and normal standard deviation.

1 | ```
ll.measure(model, data, sd)
``` |

`model` |
numerics not associated with (mean, standard deviation) pairs, likely model results |

`data` |
numerics mean associated with (mean, standard deviation) pairs, likely data results |

`sd` |
numerics standard deviation (normal) associated with (mean, standard deviation) pairs, likely data results |

a numeric scalar 2 times the sum of, the difference between the model and data, squared, divided by the standard deviation. *2 ∑{(\frac{m-d}/{s})^2}*

ktoddbrown/rtedem documentation built on May 20, 2019, 7:05 p.m.

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