| augment_longer | Augment a model fit with residuals, in "long" format |
| augment_quantile | Augment data with randomized quantile residuals |
| bin_by_interval | Group a data frame into bins |
| binned_residuals | Obtain binned residuals for a model |
| by_level | Convert factor levels to numeric values |
| check_data_arg | Check that the model fit uses the data argument to provide... |
| custom_family | Family representing a GLM with custom distribution and link... |
| decrypt | Decrypt message giving the location of the true plot in a... |
| detect_transmutation | Detect transmutation in formulas, such as factor(), and raise... |
| drop_factors | Drop factor columns from a data frame |
| empirical_link | Empirically estimate response values on the link scale |
| factor_columns | Check whether each column in a data frame is a factor |
| in_interaction | Determine if a predictor is involved in an interaction |
| model_lineup | Produce a lineup for a fitted model |
| normalize_family | Accept family arguments in the same way as glm(), convert to... |
| ols_with_error | Family representing a linear relationship with non-Gaussian... |
| parametric_boot_distribution | Simulate the distribution of estimates by parametric... |
| partial_residuals | Augment a model fit with partial residuals for all terms |
| population | Define the population generalized regression relationship |
| population_predictors | Get the predictors of a population |
| population_response | Get the response variables of a population |
| predictor | Specify the distribution of a predictor variable |
| prototype_for | Get a prototype data frame for partial residuals |
| regressinator-package | regressinator: Simulate and Diagnose (Generalized) Linear... |
| response | Specify a response variable in terms of predictors |
| rfactor | Draw random values from a factor variable |
| sample_x | Draw a data frame from the specified population. |
| sampling_distribution | Simulate the sampling distribution of estimates from a... |
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