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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