Extract model output to dataframe
Internal function, not usually called directly.
Internal function, not called directly.
Internal function, not called directly.
extract_fit(...) ## S3 method for class 'glm' extract_fit(.data, explanatory_name = "explanatory", estimate_name = "OR", estimate_suffix = "", p_name = "p", exp = TRUE, confint_type = "profile", confint_level = 0.95, ...) ## S3 method for class 'glmerMod' extract_fit(.data, explanatory_name = "explanatory", estimate_name = "OR", estimate_suffix = "", p_name = "p", exp = TRUE, confint_type = "Wald", confint_level = 0.95, ...) ## S3 method for class 'lm' extract_fit(.data, explanatory_name = "explanatory", estimate_name = "Coefficient", estimate_suffix = "", p_name = "p", confint_level = 0.95, ...) ## S3 method for class 'lmerMod' extract_fit(.data, explanatory_name = "explanatory", estimate_name = "OR", estimate_suffix = "", p_name = "p", confint_type = "Wald", confint_level = 0.95, ...) ## S3 method for class 'coxph' extract_fit(.data, explanatory_name = "explanatory", estimate_name = "HR", estimate_suffix = "", p_name = "p", ...) ## S3 method for class 'crr' extract_fit(.data, explanatory_name = "explanatory", estimate_name = "HR", estimate_suffix = "", p_name = "p", ...) ## S3 method for class 'coxme' extract_fit(.data, explanatory_name = "explanatory", estimate_name = "HR", estimate_suffix = "", p_name = "p", confint_level = 0.95, ...) ## S3 method for class 'stanfit' extract_fit(.data, explanatory_name = "explanatory", estimate_name = "OR", estimate_suffix = "", p_name = "p", digits = c(2, 2, 3), X, ...)
... |
Other arguments. |
.data |
Model output. |
explanatory_name |
Name for this column in output. |
estimate_name |
Name for this column in output. |
estimate_suffix |
Appeneded to estimate name. |
p_name |
Name given to p-value estimate |
confint_type |
One of |
confint_level |
The confidence level required. |
X |
Design matrix from Stan modelling procedure. |
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