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

This function calculates a table of probabilities of ECF and OCF.

If p is lower or higher than 1E-100 or 1-1E-100, it is changed to 1E-100 and 1-(1E-100) respectively.

Names for p vector elements should be p, or px (with x=1:categories), or px.period.

If mu_season and sd_season are equal to NA, the model is not temporalized.

If mu_season and sd_season are not NA, the model is temporalized.

1 2 3 4 5 6 7 8 9 10 11 |

`mu` |
The average of lognormal for clutch frequency. |

`sd` |
The sd parameter of lognormal for clutch frequency. |

`p` |
The capture probability for an individual nesting event. |

`MaxNests` |
Maximum number of nests by a female. |

`mu_season` |
The average of ordinal day for beginning of nesting season. |

`sd_season` |
The sd parameter of lognormal for ordinal day for beginning of nesting season. |

`MeanDaysBetween2Nests` |
Average number of days between two nests. |

`length_season` |
The total length of season based on groups of interclutch intervals. |

`parallel` |
If TRUE parallel computing is used. |

ECFOCF_f calculate a table of probabilities of ECF and OCF.

Return a matrix of class TableECFOCF.

Marc Girondot

Other Model of Clutch Frequency:
`TableECFOCF()`

,
`fitCF()`

,
`lnLCF()`

,
`logLik.ECFOCF()`

,
`plot.ECFOCF()`

,
`plot.TableECFOCF()`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | ```
## Not run:
library(phenology)
# Example
modelECFOCF <- ECFOCF_f(mu=5.58013243236187,
sd=1.225581130238,
p=invlogit(1.3578137414575),
MaxNests=15)
plot(modelECFOCF)
modelECFOCF <- ECFOCF_f(mu=5.58013243236187,
sd=1.225581130238,
mu_season=12,
sd_season=2,
p=c(p1=invlogit(1.3578137414575)),
MaxNests=15,
MeanDaysBetween2Nests=9.8,
length_season=floor(365/9.8)+1
)
plot(modelECFOCF, period=2)
## End(Not run)
``` |

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