summary.grouped: Summary method for grouped objects

In grouped: Regression Analysis of Grouped and Coarse Data

Description

Summarizes the fit of grouped objects.

Usage

## S3 method for class 'grouped'
summary(object, ...)

Arguments

object	an object of class grouped.
...	additional parameters; currently none is used.

Details

summary.grouped provides summaries of the fit for grouped objects, including computation of Wald tests for the estimated parameters.

Value

a list of class summ.grouped with the following components:

object	the fitted object.
coefficients	a numeric matrix containing the estimated coefficients, their standard errors, t-values and p-values.
sigma	the estimated standard deviation of the underlying latent variable.
se.sigma	the estimated standard error for the estimation of sigma.
logLik	the value of the log-likelihood under the estimated parameters.
AIC	the AIC under the fitted model.
BIC	the BIC under the fitted model.

Author(s)

Dimitris Rizopoulos [e-mail]

See Also

grouped

Examples

m1 <- grouped(cbind(lo, up) ~ treat * x, link = "logit", data = Sdata)
summary(m1)
    
m2 <- grouped(equispaced(r, n) ~ x1 * x2, link = "logit", data = Seeds)
summary(m2)

grouped documentation built on May 2, 2019, 2:42 a.m.