glm.pval: Function to calculate p-values for a generalized linear model.
Description
Calculates (classical) p-values for an ordinary generalized
linear model in the n > p situation.
Usage
glm.pval(x, y, family = "binomial", verbose = FALSE, ...)
Arguments
x
Design matrix (without intercept).
verbose
Logical. Should information be printed out if algorithm
did not converge?
...
Additional arguments to be passed to glm.
Value
Vector of p-values (not including the intercept).
Details
A model with intercept is fitted but the p-value of the intercept
is not reported in the output.