tidy.gamlss {broom} | R Documentation |
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.
## S3 method for class 'gamlss' tidy(x, ...)
x |
A |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
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'. |
Other deprecated:
bootstrap()
,
confint_tidy()
,
data.frame_tidiers
,
finish_glance()
,
fix_data_frame()
,
summary_tidiers
,
tidy.density()
,
tidy.dist()
,
tidy.ftable()
,
tidy.numeric()
library(gamlss) g <- gamlss( y ~ pb(x), sigma.fo = ~ pb(x), family = BCT, data = abdom, method = mixed(1, 20) ) tidy(g)