unmarkedModSel-class {unmarked} | R Documentation |
unmarkedModSel class and methods
Description
The unmarkedModSel class and associated methods
Slots
- Full
data.frame with formula, estimates, standard errors and model selection information. Converge is optim convergence code. CondNum is model condition number. n is the number of sites. delta is delta AIC. cumltvWt is cumulative AIC weight. Rsq is Nagelkerke's (1991) R-squared index, which is only returned when the nullmod argument is specified.
- Names
matrix referencing column names of estimates (row 1) and standard errors (row 2).
Methods
- show
Print the AIC model selection table
- coef
Data frame of coefficients from all models in model selection table
- SE
Data frame of coefficient SEs from all models in model selection table
See Also
Examples
data(linetran)
(dbreaksLine <- c(0, 5, 10, 15, 20))
lengths <- linetran$Length * 1000
ltUMF <- with(linetran, {
unmarkedFrameDS(y = cbind(dc1, dc2, dc3, dc4),
siteCovs = data.frame(Length, area, habitat), dist.breaks = dbreaksLine,
tlength = lengths, survey = "line", unitsIn = "m")
})
fm1 <- distsamp(~ 1 ~1, ltUMF)
fm2 <- distsamp(~ area ~1, ltUMF)
fm3 <- distsamp( ~ 1 ~area, ltUMF)
fl <- fitList(Null=fm1, A.=fm2, .A=fm3)
fl
ms <- modSel(fl, nullmod="Null")
ms
coef(ms) # Estimates only
SE(ms) # Standard errors only
(toExport <- as(ms, "data.frame")) # Everything
[Package unmarked version 1.5.0 Index]