This class contains the summary information from a probabilistic index
model , and is created by using the function `summary`

on an object of the `pim-class`

.

The class `pim.summary`

can be treated like a matrix to get out
the coefficients, standard errors, Z values and/or p values.

`formula`

contains an object of the class

`pim.formula`

containing the model fitted.`model`

a character vector describing the type of model. See also the argument

`model`

of the function`pim`

`link`

a character value that contains the link. See also the argument

`link`

of the function`pim`

`coef`

a numeric vector with the coefficients

`se`

a numeric vector with the standard errors for the coefficients

`zval`

a numeric vector containing the Z values for the coefficients, testing whether the coefficient differs significantly from 0.

`pr`

a numeric vector containing the related p-values for the coefficients.

`h0`

a numeric value or a numeric vector containing the null hypothesis. See the argument at

`summary.pim`

`pim`

for more info on how to construct the model
and `summary.pim`

for the constructor.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.