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.