Get coefficient type

Indicate the type of coefficient among "generic", "logistic", "poisson", "relative_risk" or "prop_hazard".

model_get_coefficients_type(model)

# S3 method for default
model_get_coefficients_type(model)

# S3 method for glm
model_get_coefficients_type(model)

# S3 method for negbin
model_get_coefficients_type(model)

# S3 method for geeglm
model_get_coefficients_type(model)

# S3 method for fixest
model_get_coefficients_type(model)

# S3 method for biglm
model_get_coefficients_type(model)

# S3 method for glmerMod
model_get_coefficients_type(model)

# S3 method for clogit
model_get_coefficients_type(model)

# S3 method for polr
model_get_coefficients_type(model)

# S3 method for multinom
model_get_coefficients_type(model)

# S3 method for svyolr
model_get_coefficients_type(model)

# S3 method for clm
model_get_coefficients_type(model)

# S3 method for clmm
model_get_coefficients_type(model)

# S3 method for coxph
model_get_coefficients_type(model)

# S3 method for crr
model_get_coefficients_type(model)

# S3 method for tidycrr
model_get_coefficients_type(model)

# S3 method for cch
model_get_coefficients_type(model)

# S3 method for model_fit
model_get_coefficients_type(model)

# S3 method for LORgee
model_get_coefficients_type(model)

Arguments

model

a model object

See also

Other model_helpers: model_compute_terms_contributions(), model_get_assign(), model_get_contrasts(), model_get_model(), model_get_model_frame(), model_get_model_matrix(), model_get_n(), model_get_nlevels(), model_get_offset(), model_get_pairwise_contrasts(), model_get_response(), model_get_response_variable(), model_get_terms(), model_get_weights(), model_get_xlevels(), model_identify_variables(), model_list_contrasts(), model_list_higher_order_variables(), model_list_terms_levels(), model_list_variables()

Examples

lm(hp ~ mpg + factor(cyl), mtcars) %>%
  model_get_coefficients_type()
#> [1] "generic"

Titanic %>%
  dplyr::as_tibble() %>%
  dplyr::mutate(Survived = factor(Survived, c("No", "Yes"))) %>%
  glm(Survived ~ Class + Age * Sex, data = ., weights = .$n, family = binomial) %>%
  model_get_coefficients_type()
#> [1] "logistic"