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 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 class 'gamlss' tidy(x, quick = FALSE, ...)
x |
A |
quick |
Logical indiciating if the only the |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
A tibble::tibble with one row for each coefficient, containing columns
parameter |
Type of coefficient being estimated: |
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. |
library(gamlss) g <- gamlss( y ~ pb(x), sigma.fo = ~ pb(x), family = BCT, data = abdom, method = mixed(1, 20) ) tidy(g)