Tidy a(n) gamlss object

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 cross models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.

# S3 method for gamlss
tidy(x, quick = FALSE, ...)

Arguments

x	A gamlss object returned from gamlss::gamlss().
quick	Logical indiciating if the only the term and estimate columns should be returned. Often useful to avoid time consuming covariance and standard error calculations. Defaults to FALSE.
...	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.lvel = 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 one row for each coefficient, containing columns

parameter

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

term

Name of term in the model.

estimate

Estimate coefficient of given term.

std.error

Standard error of given term.

statistic

T-statistic used to test hypothesis that coefficien equals zero.

p.value

Two sided p-value based on null hypothesis of coefficient equaling zero.

Examples

library(gamlss)
#> Error in library(gamlss): there is no package called ‘gamlss’

g <- gamlss(
  y ~ pb(x),
  sigma.fo = ~ pb(x),
  family = BCT,
  data = abdom,
  method = mixed(1, 20)
)
#> Error in gamlss(y ~ pb(x), sigma.fo = ~pb(x), family = BCT, data = abdom,     method = mixed(1, 20)): could not find function "gamlss"

tidy(g)
#> Error in tidy(g): object 'g' not found