broom (version 0.7.5)

tidy.gamlss: Tidy a(n) gamlss object

Description

Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.

Usage

# S3 method for gamlss
tidy(x, ...)

Arguments

x

A gamlss object returned from gamlss::gamlss().

...

Additional arguments. Not used. Needed to match generic signature only. Cautionary note: Misspelled arguments will be absorbed in ..., where they will be ignored. If the misspelled argument has a default value, the default value will be used. For example, if you pass conf.level = 0.9, all computation will proceed using conf.level = 0.95. Additionally, if you pass newdata = my_tibble to an augment() method that does not accept a newdata argument, it will use the default value for the data argument.

Value

A tibble::tibble() with columns:

estimate

The estimated value of the regression term.

p.value

The two-sided p-value associated with the observed statistic.

statistic

The value of a T-statistic to use in a hypothesis that the regression term is non-zero.

std.error

The standard error of the regression term.

term

The name of the regression term.

parameter

Type of coefficient being estimated: `mu`, `sigma`, `nu`, or `tau`.

See Also

Other deprecated: bootstrap(), confint_tidy(), data.frame_tidiers, finish_glance(), fix_data_frame(), summary_tidiers, tidy.density(), tidy.dist(), tidy.ftable(), tidy.numeric()

Examples

# NOT RUN {
library(gamlss)

g <- gamlss(
  y ~ pb(x),
  sigma.fo = ~ pb(x),
  family = BCT,
  data = abdom,
  method = mixed(1, 20)
)

tidy(g)
# }