| pim.summary-class | R Documentation |
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.
formulacontains an object of the class pim.formula
containing the model fitted.
modela character vector describing the type of model. See also the argument model of the function pim
linka character value that contains the link. See also
the argument link of the function pim
coefa numeric vector with the coefficients
sea numeric vector with the standard errors for the coefficients
zvala numeric vector containing the Z values for the coefficients, testing whether the coefficient differs significantly from 0.
pra numeric vector containing the related p-values for the coefficients.
h0a 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.
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