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 gam
tidy(x, parametric = FALSE, conf.int = FALSE, conf.level = 0.95, ...)



A gam object returned from a call to mgcv::gam().


Logical indicating if parametric or smooth terms should be tidied. Defaults to FALSE, meaning that smooth terms are tidied by default.


Logical indicating whether or not to include a confidence interval in the tidied output. Defaults to FALSE.


The confidence level to use for the confidence interval if conf.int = TRUE. Must be strictly greater than 0 and less than 1. Defaults to 0.95, which corresponds to a 95 percent confidence interval.


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.


When parametric = FALSE return columns edf and ref.df rather than estimate and std.error.

To tidy Gam objects created by calls to gam::gam(), see tidy.Gam().

See also

tidy(), mgcv::gam(), tidy.Gam()

Other mgcv tidiers: glance.gam()


A tibble::tibble() with columns:


The estimated value of the regression term.


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


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


The standard error of the regression term.


The name of the regression term.


The effective degrees of freedom. Only reported when `parametric = FALSE`


The reference degrees of freedom. Only reported when `parametric = FALSE`


g <- mgcv::gam(mpg ~ s(hp) + am + qsec, data = mtcars) tidy(g)
#> # A tibble: 1 x 5 #> term edf ref.df statistic p.value #> <chr> <dbl> <dbl> <dbl> <dbl> #> 1 s(hp) 2.36 3.02 6.34 0.00207
tidy(g, parametric = TRUE)
#> # A tibble: 3 x 5 #> term estimate std.error statistic p.value #> <chr> <dbl> <dbl> <dbl> <dbl> #> 1 (Intercept) 16.7 9.83 1.70 0.101 #> 2 am 4.37 1.56 2.81 0.00918 #> 3 qsec 0.0904 0.525 0.172 0.865
#> # A tibble: 1 x 7 #> df logLik AIC BIC deviance df.residual nobs #> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <int> #> 1 5.36 -74.4 162. 171. 196. 26.6 32