delete_posterior: Remove the posterior samples from a blm object.
In JasperHG90/blm: Bayesian linear model

Description Usage Arguments Value Examples

Generally, there is no good reason to delete the posterior samples. The only situation in which this may occur if the user has already sampled the posterior and wants to change the sampling plan, which is locked after the posterior is sampled.

1	delete_posterior(x)

`x`	blm object

blm object minus posterior samples

data("directors")
fit <- blm("Compensation ~ Age", data=directors) %>%
   sample_posterior()
# Delete posterior samples
fit <- fit %>% delete_posterior