WLR_AICtable: Generate AIC table for candidate weighted logistic regression...
In qureshlatif/WoodpeckerHSI: Woodpecker habitat suitability models

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

With a list of candidate WLR models, AIC table is generated (see WLR_fit; Russell et al. 2007, Latif et al. 2016).

1	WLR_AICtable(data, mods, Obs = "Nest", AICc = T, w = NULL)

`data`	Data frame with one column indicating which observations are use (1) versus non-use (0), and additional columns containing habitat covariates to be used as predictors in the model. All covariates listed in any elements of 'mods' must appear in this data frame.
`mods`	List of candidate models. Each element of this list should be a character string in the format "x1+x2+...". Best if generated from 'varCombosLinear' function.
`Obs`	The name of the column in 'data' indicating use-nonuse, i.e., y in the formula y~x.
`AICc`	If TRUE (default), the small-sample corrected version of AIC (AICc) is calculated. Otherwise, AIC is calculated.
`w`	Optional argument passed to WLR_fit.

Generates AICc (or AIC) table for candidate models. Also sorts by AICc, and generates delta-AIC and model weights.

Data frame with 5 columns: Model = string representing the model (element of 'mods'), AICc (or AIC) = the information criterion for ranking models, K = the number of parameters in each model, dAIC = the difference in AICc from the top-ranked model, and m_wt = AIC-based model weight.

Quresh S. Latif, Rocky Mountain Research Station, U.S. Forest Service

Latif, Q. S., V. A. Saab, J. P. Hollenbeck, and J. G. Dudley. 2016. Transferability of habitat suitability models for nesting woodpeckers associated with wildfire. The Condor 118:766-790.

Russell, R. E., V. A. Saab, and J. G. Dudley. 2007. Habitat-suitability models for cavity-nesting birds in a postfire landscape. Journal of Wildlife Management 71:2600-2611.

WLR_fit, varCombosLinear

qureshlatif/WoodpeckerHSI documentation built on May 29, 2019, 7:51 a.m.