Function reference

population()
 Define the population generalized regression relationship

predictor()
 Specify the distribution of a predictor variable

response()
 Specify a response variable in terms of predictors

ols_with_error()
 Family representing a linear relationship with nonGaussian errors

custom_family()
 Family representing a GLM with custom distribution and link function

sample_x()
sample_y()
 Draw a data frame from the specified population.

parametric_boot_distribution()
 Simulate the distribution of estimates by parametric bootstrap

model_lineup()
 Produce a lineup for a fitted model

decrypt()
 Decrypt message giving the location of the true plot in a lineup

sampling_distribution()
 Simulate the sampling distribution of estimates from a population

augment_longer()
 Augment a model fit with residuals, in "long" format

partial_residuals()
 Augment a model fit with partial residuals for all terms

augment_quantile()
augment_quantile_longer()
 Augment data with randomized quantile residuals

binned_residuals()
 Obtain binned residuals for a model

bin_by_interval()
bin_by_quantile()
 Group a data frame into bins

empirical_link()
 Empirically estimate response values on the link scale

rfactor()
 Draw random values from a factor variable

by_level()
 Convert factor levels to numeric values