ecospat (version 3.0)

ecospat.permut.glm: GLM Permutation Function

Description

A permutation function to get p-values on GLM coefficients and deviance.

Usage

ecospat.permut.glm (glm.obj, nperm)

Arguments

glm.obj

Any calibrated GLM or GAM object with a binomial error distribution.

nperm

The number of permutations in the randomization process.

Value

Return p-values that are how the true parameters of the original model deviate from the disribution of the random parameters. A p-value of zero means that the true parameter is completely outside the random distribution.

Details

Rows of the response variable are permuted and a new GLM is calibrated as well as deviance, adjusted deviance and coefficients are calculated. These random parameters are compared to the true parameters in order to derive p-values.

References

Hastie, T., R. Tibshirani and J. Friedman. 2001. Elements of Statistical Learning; Data Mining, Inference, and Prediction, Springer-Verlag, New York.

Legendre, P. and L. Legendre. 1998. Numerical Ecology, 2nd English edition. Elsevier Science BV, Amsterdam.

Examples

# NOT RUN {
# }
# NOT RUN {
ecospat.cv.example()
ecospat.permut.glm (get ("glm.Achillea_atrata", envir=ecospat.env), 1000)
# }