View source: R/DroppingInterval.R

fundamental | R Documentation |

Estimates which intervals in a dataset are fundamental intervals, i.e. an interval not containing a missed arrival observation

fundamental(x, conf.level = 0.9)

`x` |
object inheriting from class |

`conf.level` |
confidence level for identifying intervals as fundamental |

This functions thus determines for each interval `x$data`

whether it has a probabiliy > `conf.level`

to be
a fundamental interval, given the model fit generated by estinterval for object `x`

.

The fit of an `intRvals`

object gives the decomposition of the likelihood of an interval observation
into partial likelihoods *φ_{obs}(x,i | μ, σ, p)* (see intervalpdf).
If the amplitude of the partial likelihood with i=0 (i.e. the likelihood component without missed observations)
is at least a proportion `conf.level`

of the sum of all terms i=0..N,
an interval is considered to be fundamental (not containing a missed event observation).

logical atomic vector of the same length as `x$data`

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