RDSalamander: Robust design salamander occupancy data

In RMark: R Code for Mark Analysis

Robust design salamander occupancy data

Description

A robust design occupancy data set for modelling presence/absence data for salamanders.

Format

A data frame with 40 observations (sites) on the following 2 variables.

ch

a character vector containing the presence (1) and absence (0) with 2 primary occasions with 48 and 31 visits to the site

freq

frequency of sites (always 1)

Details

This is a data set that I got from Gary White which is suppose to be salamander data collected with a robust design.

Examples

# This example is excluded from testing to reduce package check time
fit.RDOccupancy=function()
{
   data(RDSalamander)
   occ.p.time.eg=mark(RDSalamander,model="RDOccupEG",
      time.intervals=c(rep(0,47),1,rep(0,30)),
      model.parameters=list(p=list(formula=~session)),threads=2,delete=TRUE)
   occ.p.time.pg=mark(RDSalamander,model="RDOccupPG",
      time.intervals=c(rep(0,47),1,rep(0,30)),
      model.parameters=list(Psi=list(formula=~time),
      p=list(formula=~session)),threads=2,delete=TRUE)
   occ.p.time.pe=mark(RDSalamander,model="RDOccupPE",
      time.intervals=c(rep(0,47),1,rep(0,30)),
      model.parameters=list(Psi=list(formula=~time),
      p=list(formula=~session)),threads=2,delete=TRUE)
return(collect.models())
}
RDOcc=fit.RDOccupancy()
print(RDOcc)

RMark documentation built on Aug. 14, 2022, 1:05 a.m.