Get sampling weights used by a model
This function does not cover lavaan
models (NULL
is returned).
model_get_weights(model) ## Default S3 method: model_get_weights(model) ## S3 method for class 'svyglm' model_get_weights(model)
model |
a model object |
Other model_helpers:
model_compute_terms_contributions()
,
model_get_assign()
,
model_get_coefficients_type()
,
model_get_contrasts()
,
model_get_model_frame()
,
model_get_model_matrix()
,
model_get_model()
,
model_get_nlevels()
,
model_get_n()
,
model_get_offset()
,
model_get_response()
,
model_get_terms()
,
model_get_xlevels()
,
model_identify_variables()
,
model_list_contrasts()
,
model_list_terms_levels()
,
model_list_variables()
mod <- lm(Sepal.Length ~ Sepal.Width, iris) mod %>% model_get_weights() mod <- lm(hp ~ mpg + factor(cyl) + disp:hp, mtcars, weights = mtcars$gear) mod %>% model_get_weights() mod <- glm( response ~ stage * grade + trt, gtsummary::trial, family = binomial ) mod %>% model_get_weights() mod <- glm( Survived ~ Class * Age + Sex, data = Titanic %>% as.data.frame(), weights = Freq, family = binomial ) mod %>% model_get_weights() d <- dplyr::as_tibble(Titanic) %>% dplyr::group_by(Class, Sex, Age) %>% dplyr::summarise( n_survived = sum(n * (Survived == "Yes")), n_dead = sum(n * (Survived == "No")) ) mod <- glm(cbind(n_survived, n_dead) ~ Class * Age + Sex, data = d, family = binomial) mod %>% model_get_weights()
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