Tidy a multgee model

A tidier for models generated with multgee::nomLORgee() or multgee::ordLORgee(). Term names will be updated to be consistent with generic models. The original term names are preserved in an "original_term" column.

tidy_multgee(x, conf.int = TRUE, conf.level = 0.95, ...)

Arguments

x

(LORgee)
A multgee::nomLORgee() or a multgee::ordLORgee() model.

conf.int

(logical)
Whether or not to include a confidence interval in the tidied output.

conf.level

(numeric)
The confidence level to use for the confidence interval (between 0 ans 1).

...

Additional parameters passed to parameters::model_parameters().

Details

To be noted, for multgee::nomLORgee(), the baseline y category is the latest modality of y.

See also

Other custom_tieders: tidy_broom(), tidy_parameters(), tidy_svy_vglm(), tidy_vgam(), tidy_with_broom_or_parameters(), tidy_zeroinfl()

Examples

# \donttest{
  library(multgee)
#> Loading required package: gnm

  h <- housing
  h$status <- factor(
    h$y,
    labels = c("street", "community", "independant")
  )

  mod <- multgee::nomLORgee(
    status ~ factor(time) * sec,
    data = h,
    id = id,
    repeated = time,
  )
#> Error in fitmm(data.model, marpars, homogeneous, NULL, add): gnm did not converge algorithm
  mod |> tidy_multgee()
#> Error: object 'mod' not found

  mod2 <- ordLORgee(
    formula = y ~ factor(time) + factor(trt) + factor(baseline),
    data = multgee::arthritis,
    id = id,
    repeated = time,
    LORstr = "uniform"
  )
#> Error in fitLORgee(Y, X_mat, coeffs, ncategories, id, repeated, offset,     link, LORterm, marpars, ipfp.ctrl, control, IM, LORem = LORem,     LORstr = LORstr, add): Robust covariance matrix is not positive definite
  mod2 |> tidy_multgee()
#> Error: object 'mod2' not found
# }