rbvole: Robust Design Data for Red-Back Voles

In Rcapture: Loglinear Models for Capture-Recapture Experiments

Robust Design Data for Red-Back Voles

Description

This data set contains robust design capture history data for red-back voles.

Usage

rbvole

Format

66 by 19 numeric matrix, with the following columns:

c11, c12, c13

Capture histories from the three capture occasions within primary period 1

c21, c22, c23

Capture histories from the three capture occasions within primary period 2

c31, c32, c33

Capture histories from the three capture occasions within primary period 3

c41, c42, c43

Capture histories from the three capture occasions within primary period 4

c51, c52, c53

Capture histories from the three capture occasions within primary period 5

c61, c62, c63

Capture histories from the three capture occasions within primary period 6

freq

Observed frequencies for each capture history

Details

Data collection was carried out by Etcheverry and al.. The capture occasions represent three consecutive days of trapping in May 1999, July 1999, August 1999, May 2000, July 2000 and August 2000 in the Duchenier conservation area in southeastern Quebec. This data set is analyzed in Rivest and Daigle (2004).

Each row of this data set represents an observed capture history followed by its frequency.

References

Rivest, L.P. and Daigle, G. (2004) Loglinear models for the robust design in mark-recapture experiments. Biometrics, 60, 100–107.

Examples

  # According to Rivest and Daigle (2004), a good robust design model
  # for this data set is formed of an Mth Chao model for each period.
  # This model can be fitted as follows.
  
### memory.limit(size = 2000)
### rd <- robustd.t(rbvole, dfreq = TRUE, vt = rep(3, 6), vm = "Mth", vh = "Chao")

  # WARNING : Because the data has 18 capture occasions, fitting this
  # model uses a lot of memory. Its runtime is several minutes long.

Rcapture documentation built on May 4, 2022, 5:05 p.m.