hdi: glm.pval – R documentation

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glm.pval

Function to calculate p-values for a generalized linear model.

Calculates (classical) p-values for an ordinary generalized linear model in the n > p situation.

glm.pval(x, y, family = "binomial", verbose = FALSE, ...)

`x`	Design matrix (without intercept).
`y`	Response vector.
`family`	As in `glm`.
`verbose`	Logical. Should information be printed out if algorithm did not converge?
`...`	Additional arguments to be passed to `glm`.

A model with intercept is fitted but the p-value of the intercept is not reported in the output.

Vector of p-values (not including the intercept).

Lukas Meier

## ...

High-Dimensional Inference

v0.1-7

GPL

Authors

Lukas Meier [aut, cre], Ruben Dezeure [aut], Nicolai Meinshausen [aut], Martin Maechler [aut], Peter Buehlmann [aut]

Initial release

2019-03-27