broomMethods: Broom Related Methods

In nestedLogit: Nested Dichotomy Logistic Regression Models

Broom Related Methods

Description

These functions give compact summaries of a "nestedLogit" object

glance

Construct a single row summaries for the dichotomies "nestedLogit" model.

tidy

Summarizes the terms in "nestedLogit" model.

Usage

## S3 method for class 'nestedLogit'
glance(x, ...)

## S3 method for class 'nestedLogit'
tidy(x, ...)

Arguments

x	an object of class "nestedLogit".
...	arguments to be passed down.

Value

• glance returns a tibble containing one row of fit statistics for each dichotomy, labeled response. See glance for details.

• tidy returns a tibble containing coefficient estimates and test statistics for the combinations of response and term. See tidy for details.

See Also

nestedMethods, glance, tidy

Examples

data("Womenlf", package = "carData")
m <-  nestedLogit(partic ~ hincome + children,
                  dichotomies = logits(work=dichotomy("not.work",
                                                      working=c("parttime", "fulltime")),
                                       full=dichotomy("parttime", "fulltime")),
                  data=Womenlf)

# one-line summaries
broom::glance(m)
# coefficients and tests
broom::tidy(m)

nestedLogit documentation built on July 9, 2023, 6:35 p.m.