Uses a Wald test to statistically compare activity levels at given radian times of day for a fitted activity distribution.

1 | ```
compareTimes(fit, times)
``` |

`fit` |
Fitted |

`times` |
Numeric vector of radian times of day at which to compare activity levels. All pairwise comparisons are made. |

Bootrapping the activity model yields standard error estimates for the PDF. This function uses these SEs to compute a Wald statistic for the difference between PDF values (by inference activity levels) at given times of day: statistic W = (a1-a2)^2 / (SE1^2+SE2^2) tested on chi-sq distribution with 1 degree of freedom.

A matrix with 4 columns: 1. differences between PDF values; 2. SEs of the differences; 3. Wald statistics; 4. p-values (H0 is no difference between estimates). Matrix rows give all possible pairwise comparisons, numbered in the order in which they appear in vector `times`

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